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Hubfest geospatial notebook
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Geospatial Data Science in Python (Hubfest 2025)\n", | |
| "\n", | |
| "---\n", | |
| "\n", | |
| "**Author**: James D. Triveri \n", | |
| "**Date**: 2025-06-19 \n", | |
| "\n", | |
| "---\n", | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "**Be sure to select the pyhub environment from the upper right in VSCode prior to executing any cells!**" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "<br>\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "##### **Tobler's First Law of Geography**:\n", | |
| "\n", | |
| "\n", | |
| "> ***Everything is related to everything else, but near things are more related than distant things...***\n", | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "##### **Examples:**\n", | |
| "\n", | |
| "\n", | |
| "- **Property Insurance Risk**:\n", | |
| " - Fire risk, flood risk, or theft rates tend to be similar for buildings located near each other.\n", | |
| "\n", | |
| " - If one property in a neighborhood is high-risk due to flood exposure, adjacent properties are likely to share that risk due to geography.\n", | |
| "\n", | |
| "\n", | |
| "- **Natural Disaster Claims**:\n", | |
| " - After a hailstorm, tornado or hurricane, clusters of claims occur in a concentrated geographic area.\n", | |
| "\n", | |
| " - Claims from neighboring policyholders tend to show spatial correlation in timing, severity, and type of damage.\n", | |
| "\n", | |
| "- **Underwriting Territories**:\n", | |
| " - Insurers divide geographic regions into rating territories because nearby ZIP codes often exhibit similar loss ratios or peril exposure.\n", | |
| "\n", | |
| " - Allows for more accurate pricing that reflects local risk rather than just individual characteristics.\n", | |
| "\n", | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "- These examples all involve spatial autocorrelation, the statistical fingerprint of Tobler's law.\n", | |
| "\n", | |
| "- Tobler's Law shows up in actuarial modeling whenever location-based features are predictive (spatial dependence of risks)\n", | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "\n", | |
| "In this workshop, we will focus on two libraries used for geospatial analysis in Python: Folium and GeoPandas. We begin with an introduction to Folium.\n", | |
| "\n", | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "## **Part I. Folium**\n", | |
| "\n", | |
| "---\n", | |
| "\n", | |
| "See also:\n", | |
| "\n", | |
| " - [Getting Started with Folium](https://python-visualization.github.io/folium/latest/getting_started.html)\n", | |
| "\n", | |
| "Folium is a Python library used for visualizing geospatial data interactively on web maps. Folium allows users to create maps directly within Python code, making it an accessible and powerful tool for geospatial visualization and analysis.\n", | |
| "\n", | |
| "With Folium, users can create various types of interactive maps, including point maps, choropleth maps, heatmaps and vector overlays by specifying geographic coordinates and map styling options. The library provides intuitive APIs for customizing map features such as markers, popups, tooltips, legends, and map layers, enabling users to create visually appealing and informative maps with ease.\n", | |
| "\n", | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "\n", | |
| "#### **Creating Interactive Maps in Folium**\n", | |
| "\n", | |
| "Creating maps with folium is straightforward. We pass the latitude and longitude of the point of interest (POI) and\n", | |
| "specify a zoom level. We can then drop a marker on the point of interest, and interact with the map however we'd like. \n", | |
| "\n", | |
| "We can obtain the latitude and longitude for a given POI by performing a google search. Latitude ranges from -90 to 90 degrees, longitude from -180 to 180 degrees. The latitude and longitude of the GuideOne home office is **(41.666, -93.993)**, which is **(latitude, longitude)**. Note that for US coordinates, the longitude will always be negative. An illustration is provided below:\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "<p align=\"center\">\n", | |
| "<img src=https://c.tadst.com/gfx/1200x675/longitude-and-latitude-simple.png?1 height=\"50%\" width=\"50%\">\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "\n", | |
| "- 1 degree of latitude is essentially constant anywhere on Earth, being roughly 69 miles (111 km).\n", | |
| "- 1 degree of longitude varies with latitude, from about 69 miles at the equator to 0 at the poles. \n", | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "For reference, the table below lists the level of accuracy of GPS coordinate pairs as a function of the number of decimal places:\n", | |
| "\n", | |
| "\n", | |
| "| Decimal Places | Degrees | Distance |\n", | |
| "|----------------|-------------|-----------|\n", | |
| "| 0 | 1.0 | 111 km |\n", | |
| "| 1 | 0.1 | 11.1 km |\n", | |
| "| 2 | 0.01 | 1.11 km |\n", | |
| "| 3 | 0.001 | 111 m |\n", | |
| "| 4 | 0.0001 | 11.1 m |\n", | |
| "| 5 | 0.00001 | 1.11 m |\n", | |
| "| 6 | 0.000001 | 111 mm |\n", | |
| "| 7 | 0.0000001 | 11.1 mm |\n", | |
| "| 8 | 0.00000001 | 1.11 mm |\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "To get started, let's render a map over my neighborhood park growing up (Durkin Park on the southwest side of Chicago). Note that the zoom level provides more detail as the number gets larger. A zoom level of 4 would show the entire US; a zoom level of 17 would render roughly a city block:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"<!DOCTYPE html>\n", | |
| "<html>\n", | |
| "<head>\n", | |
| " \n", | |
| " <meta http-equiv="content-type" content="text/html; charset=UTF-8" />\n", | |
| " \n", | |
| " <script>\n", | |
| " L_NO_TOUCH = false;\n", | |
| " L_DISABLE_3D = false;\n", | |
| " </script>\n", | |
| " \n", | |
| " <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>\n", | |
| " <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.js"></script>\n", | |
| " <script src="https://code.jquery.com/jquery-3.7.1.min.js"></script>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js"></script>\n", | |
| " <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/[email protected]/css/all.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css"/>\n", | |
| " \n", | |
| " <meta name="viewport" content="width=device-width,\n", | |
| " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", | |
| " <style>\n", | |
| " #map_6b8e9a653cafa433d9de846a5edfcef7 {\n", | |
| " position: relative;\n", | |
| " width: 100.0%;\n", | |
| " height: 100.0%;\n", | |
| " left: 0.0%;\n", | |
| " top: 0.0%;\n", | |
| " }\n", | |
| " .leaflet-container { font-size: 1rem; }\n", | |
| " </style>\n", | |
| " \n", | |
| "</head>\n", | |
| "<body>\n", | |
| " \n", | |
| " \n", | |
| " <div class="folium-map" id="map_6b8e9a653cafa433d9de846a5edfcef7" ></div>\n", | |
| " \n", | |
| "</body>\n", | |
| "<script>\n", | |
| " \n", | |
| " \n", | |
| " var map_6b8e9a653cafa433d9de846a5edfcef7 = L.map(\n", | |
| " "map_6b8e9a653cafa433d9de846a5edfcef7",\n", | |
| " {\n", | |
| " center: [41.739, -87.729],\n", | |
| " crs: L.CRS.EPSG3857,\n", | |
| " zoom: 17,\n", | |
| " zoomControl: true,\n", | |
| " preferCanvas: false,\n", | |
| " }\n", | |
| " );\n", | |
| "\n", | |
| " \n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var tile_layer_41d31e1141e0cc4e280427a428f6739f = L.tileLayer(\n", | |
| " "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n", | |
| " {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", | |
| " );\n", | |
| " \n", | |
| " \n", | |
| " tile_layer_41d31e1141e0cc4e280427a428f6739f.addTo(map_6b8e9a653cafa433d9de846a5edfcef7);\n", | |
| " \n", | |
| " \n", | |
| " var marker_55291de7a43b1c0fad78b6a8a67721f2 = L.marker(\n", | |
| " [41.739, -87.729],\n", | |
| " {}\n", | |
| " ).addTo(map_6b8e9a653cafa433d9de846a5edfcef7);\n", | |
| " \n", | |
| "</script>\n", | |
| "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<folium.folium.Map at 0x257e72738c0>" | |
| ] | |
| }, | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "import folium\n", | |
| "\n", | |
| "# Latitude and longitude for Durkin Park, 8400 S. Kolin Ave, Chicago IL. \n", | |
| "lat = 41.739\n", | |
| "lon = -87.729\n", | |
| "zoom = 17\n", | |
| "\n", | |
| "m = folium.Map(location=[lat, lon], zoom_start=zoom)\n", | |
| "folium.Marker(location=[lat, lon]).add_to(m)\n", | |
| "\n", | |
| "m\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "<br>\n", | |
| "\n", | |
| "A few things to note about the code used to render the map:\n", | |
| "\n", | |
| "* We start by importing the folium library.\n", | |
| "* The lat/lon for the POI (Durkin Park) was obtained by a simple google search.\n", | |
| "* We used a zoom level of 18, but the map can be resized by scrolling or clicking +/-.\n", | |
| "* To add the marker to the map, `.add_to(m)` is used.\n", | |
| "* `m` is added by itself in the last line of the cell in order for the map to render. Without doing this, the map would not display. \n", | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "We can change the color of the marker by passing an additional argument into `folium.Marker`. I'll place a second marker on my high school, St. Laurence in Burbank, IL:\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"<!DOCTYPE html>\n", | |
| "<html>\n", | |
| "<head>\n", | |
| " \n", | |
| " <meta http-equiv="content-type" content="text/html; charset=UTF-8" />\n", | |
| " \n", | |
| " <script>\n", | |
| " L_NO_TOUCH = false;\n", | |
| " L_DISABLE_3D = false;\n", | |
| " </script>\n", | |
| " \n", | |
| " <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>\n", | |
| " <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.js"></script>\n", | |
| " <script src="https://code.jquery.com/jquery-3.7.1.min.js"></script>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js"></script>\n", | |
| " <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/[email protected]/css/all.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css"/>\n", | |
| " \n", | |
| " <meta name="viewport" content="width=device-width,\n", | |
| " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", | |
| " <style>\n", | |
| " #map_24a99750d9b68a6c6a0aa2a3ccbd9bc3 {\n", | |
| " position: relative;\n", | |
| " width: 100.0%;\n", | |
| " height: 100.0%;\n", | |
| " left: 0.0%;\n", | |
| " top: 0.0%;\n", | |
| " }\n", | |
| " .leaflet-container { font-size: 1rem; }\n", | |
| " </style>\n", | |
| " \n", | |
| "</head>\n", | |
| "<body>\n", | |
| " \n", | |
| " \n", | |
| " <div class="folium-map" id="map_24a99750d9b68a6c6a0aa2a3ccbd9bc3" ></div>\n", | |
| " \n", | |
| "</body>\n", | |
| "<script>\n", | |
| " \n", | |
| " \n", | |
| " var map_24a99750d9b68a6c6a0aa2a3ccbd9bc3 = L.map(\n", | |
| " "map_24a99750d9b68a6c6a0aa2a3ccbd9bc3",\n", | |
| " {\n", | |
| " center: [41.746444999999994, -87.7445],\n", | |
| " crs: L.CRS.EPSG3857,\n", | |
| " zoom: 14,\n", | |
| " zoomControl: true,\n", | |
| " preferCanvas: false,\n", | |
| " }\n", | |
| " );\n", | |
| "\n", | |
| " \n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var tile_layer_54edbd561bc4e219760648142c1e33a5 = L.tileLayer(\n", | |
| " "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n", | |
| " {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", | |
| " );\n", | |
| " \n", | |
| " \n", | |
| " tile_layer_54edbd561bc4e219760648142c1e33a5.addTo(map_24a99750d9b68a6c6a0aa2a3ccbd9bc3);\n", | |
| " \n", | |
| " \n", | |
| " var marker_b9a35e3b967b17e5647359ff134d126c = L.marker(\n", | |
| " [41.739, -87.729],\n", | |
| " {}\n", | |
| " ).addTo(map_24a99750d9b68a6c6a0aa2a3ccbd9bc3);\n", | |
| " \n", | |
| " \n", | |
| " var popup_21e6241147734b4ebaf6a4f3f7035264 = L.popup({"maxWidth": "100%"});\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var html_845ebeb0638fc305149bcb670516cdea = $(`<div id="html_845ebeb0638fc305149bcb670516cdea" style="width: 100.0%; height: 100.0%;">Durkin Park</div>`)[0];\n", | |
| " popup_21e6241147734b4ebaf6a4f3f7035264.setContent(html_845ebeb0638fc305149bcb670516cdea);\n", | |
| " \n", | |
| " \n", | |
| "\n", | |
| " marker_b9a35e3b967b17e5647359ff134d126c.bindPopup(popup_21e6241147734b4ebaf6a4f3f7035264)\n", | |
| " ;\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " \n", | |
| " var marker_81946c6b1dc20dc57bd6c4187446d603 = L.marker(\n", | |
| " [41.75389, -87.76],\n", | |
| " {}\n", | |
| " ).addTo(map_24a99750d9b68a6c6a0aa2a3ccbd9bc3);\n", | |
| " \n", | |
| " \n", | |
| " var icon_e9742a44272491363be9d461b58cedb9 = L.AwesomeMarkers.icon(\n", | |
| " {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "red", "prefix": "glyphicon"}\n", | |
| " );\n", | |
| " marker_81946c6b1dc20dc57bd6c4187446d603.setIcon(icon_e9742a44272491363be9d461b58cedb9);\n", | |
| " \n", | |
| " \n", | |
| " var popup_e80d6a042e020261ec063f90b1065db3 = L.popup({"maxWidth": "100%"});\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var html_6b74997f5bbbc2d6264027f26d5b5271 = $(`<div id="html_6b74997f5bbbc2d6264027f26d5b5271" style="width: 100.0%; height: 100.0%;">St. Laurence High School</div>`)[0];\n", | |
| " popup_e80d6a042e020261ec063f90b1065db3.setContent(html_6b74997f5bbbc2d6264027f26d5b5271);\n", | |
| " \n", | |
| " \n", | |
| "\n", | |
| " marker_81946c6b1dc20dc57bd6c4187446d603.bindPopup(popup_e80d6a042e020261ec063f90b1065db3)\n", | |
| " ;\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| "</script>\n", | |
| "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<folium.folium.Map at 0x257e6198080>" | |
| ] | |
| }, | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "# Durkin Park coordinates.\n", | |
| "lat1 = 41.739\n", | |
| "lon1 = -87.729\n", | |
| "\n", | |
| "# St. Laurence High School coordinates.\n", | |
| "lat2 = 41.75389\n", | |
| "lon2 = -87.76000\n", | |
| "\n", | |
| "# Center map midway POI1 and POI2.\n", | |
| "mid_lat = (lat2 + lat1) / 2\n", | |
| "mid_lon = (lon2 + lon1) / 2\n", | |
| "\n", | |
| "# Specify zoom level. \n", | |
| "zoom = 14\n", | |
| "\n", | |
| "# Initialize map.\n", | |
| "m = folium.Map(location=[mid_lat, mid_lon], zoom_start=zoom)\n", | |
| "\n", | |
| "\n", | |
| "# Add Durkin Park marker.\n", | |
| "folium.Marker(\n", | |
| " location=[lat1, lon1],\n", | |
| " popup=\"Durkin Park\",\n", | |
| ").add_to(m)\n", | |
| "\n", | |
| "\n", | |
| "# Add St. Laurence marker.\n", | |
| "folium.Marker(\n", | |
| " location=[lat2, lon2],\n", | |
| " popup=\"St. Laurence High School\",\n", | |
| " icon=folium.Icon(color=\"red\")\n", | |
| ").add_to(m)\n", | |
| "\n", | |
| "m\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "Notice that the `popup` argument was supplied to `folium.Marker`. If we click on the markers, whatever text is supplied to `popup` will be shown on the map. \n", | |
| "\n", | |
| "We can connect the markers in the map by using `folium.PolyLine`. We pass in a list of lat/lon pairs, and it draws a line connecting the points. Let's connect the POIs with a green line:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"<!DOCTYPE html>\n", | |
| "<html>\n", | |
| "<head>\n", | |
| " \n", | |
| " <meta http-equiv="content-type" content="text/html; charset=UTF-8" />\n", | |
| " \n", | |
| " <script>\n", | |
| " L_NO_TOUCH = false;\n", | |
| " L_DISABLE_3D = false;\n", | |
| " </script>\n", | |
| " \n", | |
| " <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>\n", | |
| " <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.js"></script>\n", | |
| " <script src="https://code.jquery.com/jquery-3.7.1.min.js"></script>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js"></script>\n", | |
| " <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/[email protected]/css/all.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css"/>\n", | |
| " \n", | |
| " <meta name="viewport" content="width=device-width,\n", | |
| " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", | |
| " <style>\n", | |
| " #map_b4ee2984274cde5e33b17eb4ba8aea78 {\n", | |
| " position: relative;\n", | |
| " width: 100.0%;\n", | |
| " height: 100.0%;\n", | |
| " left: 0.0%;\n", | |
| " top: 0.0%;\n", | |
| " }\n", | |
| " .leaflet-container { font-size: 1rem; }\n", | |
| " </style>\n", | |
| " \n", | |
| "</head>\n", | |
| "<body>\n", | |
| " \n", | |
| " \n", | |
| " <div class="folium-map" id="map_b4ee2984274cde5e33b17eb4ba8aea78" ></div>\n", | |
| " \n", | |
| "</body>\n", | |
| "<script>\n", | |
| " \n", | |
| " \n", | |
| " var map_b4ee2984274cde5e33b17eb4ba8aea78 = L.map(\n", | |
| " "map_b4ee2984274cde5e33b17eb4ba8aea78",\n", | |
| " {\n", | |
| " center: [41.746444999999994, -87.7445],\n", | |
| " crs: L.CRS.EPSG3857,\n", | |
| " zoom: 14,\n", | |
| " zoomControl: true,\n", | |
| " preferCanvas: false,\n", | |
| " }\n", | |
| " );\n", | |
| "\n", | |
| " \n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var tile_layer_85d537dd3fd5c6506b572a1582835c55 = L.tileLayer(\n", | |
| " "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n", | |
| " {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", | |
| " );\n", | |
| " \n", | |
| " \n", | |
| " tile_layer_85d537dd3fd5c6506b572a1582835c55.addTo(map_b4ee2984274cde5e33b17eb4ba8aea78);\n", | |
| " \n", | |
| " \n", | |
| " var marker_ab76a6a277f7b49bffaf8c2a3ce263e0 = L.marker(\n", | |
| " [41.739, -87.729],\n", | |
| " {}\n", | |
| " ).addTo(map_b4ee2984274cde5e33b17eb4ba8aea78);\n", | |
| " \n", | |
| " \n", | |
| " var popup_cd31baaf27c080197ed01055432d8942 = L.popup({"maxWidth": "100%"});\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var html_b2c358da0dc0bcc1fd9c350cdc2d9e15 = $(`<div id="html_b2c358da0dc0bcc1fd9c350cdc2d9e15" style="width: 100.0%; height: 100.0%;">Durkin Park</div>`)[0];\n", | |
| " popup_cd31baaf27c080197ed01055432d8942.setContent(html_b2c358da0dc0bcc1fd9c350cdc2d9e15);\n", | |
| " \n", | |
| " \n", | |
| "\n", | |
| " marker_ab76a6a277f7b49bffaf8c2a3ce263e0.bindPopup(popup_cd31baaf27c080197ed01055432d8942)\n", | |
| " ;\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " \n", | |
| " var marker_f69f4d2a83c40c40a3a9f84eb0df8b6a = L.marker(\n", | |
| " [41.75389, -87.76],\n", | |
| " {}\n", | |
| " ).addTo(map_b4ee2984274cde5e33b17eb4ba8aea78);\n", | |
| " \n", | |
| " \n", | |
| " var icon_4699605c63a234ac7105aefef1ff9be5 = L.AwesomeMarkers.icon(\n", | |
| " {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "red", "prefix": "glyphicon"}\n", | |
| " );\n", | |
| " marker_f69f4d2a83c40c40a3a9f84eb0df8b6a.setIcon(icon_4699605c63a234ac7105aefef1ff9be5);\n", | |
| " \n", | |
| " \n", | |
| " var popup_3211d8289fe78a79c0805f865f5aa0e5 = L.popup({"maxWidth": "100%"});\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var html_0eb4939eafd6b083ef294e3e782330f6 = $(`<div id="html_0eb4939eafd6b083ef294e3e782330f6" style="width: 100.0%; height: 100.0%;">St. Laurence High School</div>`)[0];\n", | |
| " popup_3211d8289fe78a79c0805f865f5aa0e5.setContent(html_0eb4939eafd6b083ef294e3e782330f6);\n", | |
| " \n", | |
| " \n", | |
| "\n", | |
| " marker_f69f4d2a83c40c40a3a9f84eb0df8b6a.bindPopup(popup_3211d8289fe78a79c0805f865f5aa0e5)\n", | |
| " ;\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " \n", | |
| " var poly_line_5a83d22c891af6d85405e058ebbd9c59 = L.polyline(\n", | |
| " [[41.75389, -87.76], [41.739, -87.729]],\n", | |
| " {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": false, "fillColor": "green", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "noClip": false, "opacity": 1.0, "smoothFactor": 1.0, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_b4ee2984274cde5e33b17eb4ba8aea78);\n", | |
| " \n", | |
| "</script>\n", | |
| "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<folium.folium.Map at 0x257e8dc8ce0>" | |
| ] | |
| }, | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "# Durkin Park coordinates.\n", | |
| "lat1 = 41.739\n", | |
| "lon1 = -87.729\n", | |
| "\n", | |
| "# St. Laurence High School coordinates.\n", | |
| "lat2 = 41.75389\n", | |
| "lon2 = -87.76000\n", | |
| "\n", | |
| "# Center map midway POI1 and POI2.\n", | |
| "mid_lat = (lat2 + lat1) / 2\n", | |
| "mid_lon = (lon2 + lon1) / 2\n", | |
| "\n", | |
| "# Specify zoom level. \n", | |
| "zoom = 14\n", | |
| "\n", | |
| "# Initialize map.\n", | |
| "m = folium.Map(location=[mid_lat, mid_lon], zoom_start=zoom)\n", | |
| "\n", | |
| "# Add Durkin Park marker.\n", | |
| "folium.Marker(\n", | |
| " location=[lat1, lon1],\n", | |
| " popup=\"Durkin Park\",\n", | |
| ").add_to(m)\n", | |
| "\n", | |
| "# Add St. Laurence High School marker.\n", | |
| "folium.Marker(\n", | |
| " location=[lat2, lon2],\n", | |
| " popup=\"St. Laurence High School\",\n", | |
| " icon=folium.Icon(color=\"red\")\n", | |
| ").add_to(m)\n", | |
| "\n", | |
| "\n", | |
| "# Connect parks with green line. \n", | |
| "points = [(lat2, lon2), (lat1, lon1)]\n", | |
| "folium.PolyLine(points, color=\"green\").add_to(m)\n", | |
| "\n", | |
| "m\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "<br>\n", | |
| "\n", | |
| "The standard markers can be replaced with circle markers by using `folium.CircleMarker`. `radius` controls the size of the markers and `color/fill_color` set the color of the marker:\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"<!DOCTYPE html>\n", | |
| "<html>\n", | |
| "<head>\n", | |
| " \n", | |
| " <meta http-equiv="content-type" content="text/html; charset=UTF-8" />\n", | |
| " \n", | |
| " <script>\n", | |
| " L_NO_TOUCH = false;\n", | |
| " L_DISABLE_3D = false;\n", | |
| " </script>\n", | |
| " \n", | |
| " <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>\n", | |
| " <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.js"></script>\n", | |
| " <script src="https://code.jquery.com/jquery-3.7.1.min.js"></script>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js"></script>\n", | |
| " <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/[email protected]/css/all.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css"/>\n", | |
| " \n", | |
| " <meta name="viewport" content="width=device-width,\n", | |
| " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", | |
| " <style>\n", | |
| " #map_04c5dece315fd41e2097d1d613165121 {\n", | |
| " position: relative;\n", | |
| " width: 100.0%;\n", | |
| " height: 100.0%;\n", | |
| " left: 0.0%;\n", | |
| " top: 0.0%;\n", | |
| " }\n", | |
| " .leaflet-container { font-size: 1rem; }\n", | |
| " </style>\n", | |
| " \n", | |
| "</head>\n", | |
| "<body>\n", | |
| " \n", | |
| " \n", | |
| " <div class="folium-map" id="map_04c5dece315fd41e2097d1d613165121" ></div>\n", | |
| " \n", | |
| "</body>\n", | |
| "<script>\n", | |
| " \n", | |
| " \n", | |
| " var map_04c5dece315fd41e2097d1d613165121 = L.map(\n", | |
| " "map_04c5dece315fd41e2097d1d613165121",\n", | |
| " {\n", | |
| " center: [41.746444999999994, -87.7445],\n", | |
| " crs: L.CRS.EPSG3857,\n", | |
| " zoom: 14,\n", | |
| " zoomControl: true,\n", | |
| " preferCanvas: false,\n", | |
| " }\n", | |
| " );\n", | |
| "\n", | |
| " \n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var tile_layer_dc18f85e16bf6eb5de5a2a19692c7cdc = L.tileLayer(\n", | |
| " "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n", | |
| " {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", | |
| " );\n", | |
| " \n", | |
| " \n", | |
| " tile_layer_dc18f85e16bf6eb5de5a2a19692c7cdc.addTo(map_04c5dece315fd41e2097d1d613165121);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_843ef81b33763694e52fda23536747e0 = L.circleMarker(\n", | |
| " [41.739, -87.729],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_04c5dece315fd41e2097d1d613165121);\n", | |
| " \n", | |
| " \n", | |
| " var popup_5c94dd4736670e3156f55f18bfb17ee3 = L.popup({"maxWidth": "100%"});\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var html_4c036e38937df33280ef6f9639db1c32 = $(`<div id="html_4c036e38937df33280ef6f9639db1c32" style="width: 100.0%; height: 100.0%;">Durkin Park</div>`)[0];\n", | |
| " popup_5c94dd4736670e3156f55f18bfb17ee3.setContent(html_4c036e38937df33280ef6f9639db1c32);\n", | |
| " \n", | |
| " \n", | |
| "\n", | |
| " circle_marker_843ef81b33763694e52fda23536747e0.bindPopup(popup_5c94dd4736670e3156f55f18bfb17ee3)\n", | |
| " ;\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_93dd264edba1e3cd829f38f808db3169 = L.circleMarker(\n", | |
| " [41.75389, -87.76],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_04c5dece315fd41e2097d1d613165121);\n", | |
| " \n", | |
| " \n", | |
| " var popup_5c2d73cec792f9ecf3268659848be2f9 = L.popup({"maxWidth": "100%"});\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var html_3b731f7fd4444441b467aea2f0a53f64 = $(`<div id="html_3b731f7fd4444441b467aea2f0a53f64" style="width: 100.0%; height: 100.0%;">St. Laurence High School</div>`)[0];\n", | |
| " popup_5c2d73cec792f9ecf3268659848be2f9.setContent(html_3b731f7fd4444441b467aea2f0a53f64);\n", | |
| " \n", | |
| " \n", | |
| "\n", | |
| " circle_marker_93dd264edba1e3cd829f38f808db3169.bindPopup(popup_5c2d73cec792f9ecf3268659848be2f9)\n", | |
| " ;\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " \n", | |
| " var poly_line_dd9f86d4af118d6f2f83384365100b67 = L.polyline(\n", | |
| " [[41.75389, -87.76], [41.739, -87.729]],\n", | |
| " {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": false, "fillColor": "green", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "noClip": false, "opacity": 1.0, "smoothFactor": 1.0, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_04c5dece315fd41e2097d1d613165121);\n", | |
| " \n", | |
| "</script>\n", | |
| "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<folium.folium.Map at 0x257e8e367e0>" | |
| ] | |
| }, | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "m = folium.Map(location=[mid_lat, mid_lon], zoom_start=zoom)\n", | |
| "\n", | |
| "# Add Durkin Park circle marker.\n", | |
| "folium.CircleMarker(\n", | |
| " location=[lat1, lon1], \n", | |
| " radius=7, \n", | |
| " popup=\"Durkin Park\",\n", | |
| " color=\"red\", \n", | |
| " fill_color=\"red\", \n", | |
| " fill=True,\n", | |
| " fill_opacity=1\n", | |
| ").add_to(m)\n", | |
| "\n", | |
| "# Add St. Laurence circle marker.\n", | |
| "folium.CircleMarker(\n", | |
| " location=[lat2, lon2], \n", | |
| " radius=7, \n", | |
| " popup=\"St. Laurence High School\",\n", | |
| " color=\"red\", \n", | |
| " fill_color=\"red\", \n", | |
| " fill=True,\n", | |
| " fill_opacity=1\n", | |
| ").add_to(m)\n", | |
| "\n", | |
| "# Connect parks with green line. \n", | |
| "points = [(lat2, lon2), (lat1, lon1)]\n", | |
| "folium.PolyLine(points, color=\"green\").add_to(m)\n", | |
| "\n", | |
| "m\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "If you do not want the map to fill the entire output area in your notebook, you can adjust the size of the output frame using `folium.Figure`:\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<iframe srcdoc=\"<!DOCTYPE html>\n", | |
| "<html>\n", | |
| "<head>\n", | |
| " \n", | |
| " <meta http-equiv="content-type" content="text/html; charset=UTF-8" />\n", | |
| " \n", | |
| " <script>\n", | |
| " L_NO_TOUCH = false;\n", | |
| " L_DISABLE_3D = false;\n", | |
| " </script>\n", | |
| " \n", | |
| " <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>\n", | |
| " <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.js"></script>\n", | |
| " <script src="https://code.jquery.com/jquery-3.7.1.min.js"></script>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js"></script>\n", | |
| " <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/[email protected]/css/all.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css"/>\n", | |
| " \n", | |
| " <meta name="viewport" content="width=device-width,\n", | |
| " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", | |
| " <style>\n", | |
| " #map_eee897eb1160a4d67e376d8bb2d1c544 {\n", | |
| " position: relative;\n", | |
| " width: 100.0%;\n", | |
| " height: 100.0%;\n", | |
| " left: 0.0%;\n", | |
| " top: 0.0%;\n", | |
| " }\n", | |
| " .leaflet-container { font-size: 1rem; }\n", | |
| " </style>\n", | |
| " \n", | |
| "</head>\n", | |
| "<body>\n", | |
| " \n", | |
| " \n", | |
| " <div class="folium-map" id="map_eee897eb1160a4d67e376d8bb2d1c544" ></div>\n", | |
| " \n", | |
| "</body>\n", | |
| "<script>\n", | |
| " \n", | |
| " \n", | |
| " var map_eee897eb1160a4d67e376d8bb2d1c544 = L.map(\n", | |
| " "map_eee897eb1160a4d67e376d8bb2d1c544",\n", | |
| " {\n", | |
| " center: [41.746444999999994, -87.7445],\n", | |
| " crs: L.CRS.EPSG3857,\n", | |
| " zoom: 14,\n", | |
| " zoomControl: true,\n", | |
| " preferCanvas: false,\n", | |
| " }\n", | |
| " );\n", | |
| "\n", | |
| " \n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var tile_layer_c531ee30cd22c9f75a18d55b517c9236 = L.tileLayer(\n", | |
| " "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n", | |
| " {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", | |
| " );\n", | |
| " \n", | |
| " \n", | |
| " tile_layer_c531ee30cd22c9f75a18d55b517c9236.addTo(map_eee897eb1160a4d67e376d8bb2d1c544);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_995e9c04bb6950b6d0eb89d3c556bd35 = L.circleMarker(\n", | |
| " [41.739, -87.729],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_eee897eb1160a4d67e376d8bb2d1c544);\n", | |
| " \n", | |
| " \n", | |
| " var popup_24b276d0525a04a9d574251425f81883 = L.popup({"maxWidth": "100%"});\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var html_e5ac9b1964dd40ea9f568dae9b75808c = $(`<div id="html_e5ac9b1964dd40ea9f568dae9b75808c" style="width: 100.0%; height: 100.0%;">Durkin Park</div>`)[0];\n", | |
| " popup_24b276d0525a04a9d574251425f81883.setContent(html_e5ac9b1964dd40ea9f568dae9b75808c);\n", | |
| " \n", | |
| " \n", | |
| "\n", | |
| " circle_marker_995e9c04bb6950b6d0eb89d3c556bd35.bindPopup(popup_24b276d0525a04a9d574251425f81883)\n", | |
| " ;\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_a3f36da23107e7bd7519075cd6d695b4 = L.circleMarker(\n", | |
| " [41.75389, -87.76],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_eee897eb1160a4d67e376d8bb2d1c544);\n", | |
| " \n", | |
| " \n", | |
| " var popup_fd8e03bacb0e250ebd4a02e271c9f5ef = L.popup({"maxWidth": "100%"});\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var html_f16ac3777f1358513612caab7c91544c = $(`<div id="html_f16ac3777f1358513612caab7c91544c" style="width: 100.0%; height: 100.0%;">St. Laurence High School</div>`)[0];\n", | |
| " popup_fd8e03bacb0e250ebd4a02e271c9f5ef.setContent(html_f16ac3777f1358513612caab7c91544c);\n", | |
| " \n", | |
| " \n", | |
| "\n", | |
| " circle_marker_a3f36da23107e7bd7519075cd6d695b4.bindPopup(popup_fd8e03bacb0e250ebd4a02e271c9f5ef)\n", | |
| " ;\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " \n", | |
| " var poly_line_a084d38ec2efea80855f053b4fd963a4 = L.polyline(\n", | |
| " [[41.75389, -87.76], [41.739, -87.729]],\n", | |
| " {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": false, "fillColor": "green", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "noClip": false, "opacity": 1.0, "smoothFactor": 1.0, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_eee897eb1160a4d67e376d8bb2d1c544);\n", | |
| " \n", | |
| "</script>\n", | |
| "</html>\" width=\"800\" height=\"600\"style=\"border:none !important;\" \"allowfullscreen\" \"webkitallowfullscreen\" \"mozallowfullscreen\"></iframe>" | |
| ], | |
| "text/plain": [ | |
| "<folium.folium.Map at 0x257e8ec40b0>" | |
| ] | |
| }, | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "# Render map with width 800 and height 600 pixels.\n", | |
| "f = folium.Figure(width=800, height=600)\n", | |
| "m = folium.Map(location=[mid_lat, mid_lon], zoom_start=zoom).add_to(f)\n", | |
| "\n", | |
| "# Add Durkin Park circle marker.\n", | |
| "folium.CircleMarker(\n", | |
| " location=[lat1, lon1], \n", | |
| " radius=7, \n", | |
| " popup=\"Durkin Park\",\n", | |
| " color=\"red\", \n", | |
| " fill_color=\"red\", \n", | |
| " fill=True,\n", | |
| " fill_opacity=1\n", | |
| ").add_to(m)\n", | |
| "\n", | |
| "# Add St. Laurence circle marker.\n", | |
| "folium.CircleMarker(\n", | |
| " location=[lat2, lon2], \n", | |
| " radius=7, \n", | |
| " popup=\"St. Laurence High School\",\n", | |
| " color=\"red\", \n", | |
| " fill_color=\"red\", \n", | |
| " fill=True,\n", | |
| " fill_opacity=1\n", | |
| ").add_to(m)\n", | |
| "\n", | |
| "# Connect parks with green line. \n", | |
| "points = [(lat2, lon2), (lat1, lon1)]\n", | |
| "folium.PolyLine(points, color=\"green\").add_to(m)\n", | |
| "\n", | |
| "m\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "<br>\n", | |
| "\n", | |
| "By default folium uses OpenStreetMap tiles. We can use a different style by passing a value to the `tiles` argument of `folium.Map`:\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<iframe srcdoc=\"<!DOCTYPE html>\n", | |
| "<html>\n", | |
| "<head>\n", | |
| " \n", | |
| " <meta http-equiv="content-type" content="text/html; charset=UTF-8" />\n", | |
| " \n", | |
| " <script>\n", | |
| " L_NO_TOUCH = false;\n", | |
| " L_DISABLE_3D = false;\n", | |
| " </script>\n", | |
| " \n", | |
| " <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>\n", | |
| " <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.js"></script>\n", | |
| " <script src="https://code.jquery.com/jquery-3.7.1.min.js"></script>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js"></script>\n", | |
| " <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/[email protected]/css/all.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css"/>\n", | |
| " \n", | |
| " <meta name="viewport" content="width=device-width,\n", | |
| " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", | |
| " <style>\n", | |
| " #map_7e82caa461909fb9b734919c40b3e77c {\n", | |
| " position: relative;\n", | |
| " width: 100.0%;\n", | |
| " height: 100.0%;\n", | |
| " left: 0.0%;\n", | |
| " top: 0.0%;\n", | |
| " }\n", | |
| " .leaflet-container { font-size: 1rem; }\n", | |
| " </style>\n", | |
| " \n", | |
| "</head>\n", | |
| "<body>\n", | |
| " \n", | |
| " \n", | |
| " <div class="folium-map" id="map_7e82caa461909fb9b734919c40b3e77c" ></div>\n", | |
| " \n", | |
| "</body>\n", | |
| "<script>\n", | |
| " \n", | |
| " \n", | |
| " var map_7e82caa461909fb9b734919c40b3e77c = L.map(\n", | |
| " "map_7e82caa461909fb9b734919c40b3e77c",\n", | |
| " {\n", | |
| " center: [41.746444999999994, -87.7445],\n", | |
| " crs: L.CRS.EPSG3857,\n", | |
| " zoom: 14,\n", | |
| " zoomControl: true,\n", | |
| " preferCanvas: false,\n", | |
| " }\n", | |
| " );\n", | |
| "\n", | |
| " \n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var tile_layer_ca6a6e355dce8cb0a544c2d6cd201342 = L.tileLayer(\n", | |
| " "https://{s}.basemaps.cartocdn.com/dark_all/{z}/{x}/{y}{r}.png",\n", | |
| " {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors \\u0026copy; \\u003ca href=\\"https://carto.com/attributions\\"\\u003eCARTO\\u003c/a\\u003e", "detectRetina": false, "maxNativeZoom": 20, "maxZoom": 20, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abcd", "tms": false}\n", | |
| " );\n", | |
| " \n", | |
| " \n", | |
| " tile_layer_ca6a6e355dce8cb0a544c2d6cd201342.addTo(map_7e82caa461909fb9b734919c40b3e77c);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_50f2895ba8739786749231629a05a654 = L.circleMarker(\n", | |
| " [41.739, -87.729],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_7e82caa461909fb9b734919c40b3e77c);\n", | |
| " \n", | |
| " \n", | |
| " var popup_d352d8a99f9ef1adc4eefe69f264447f = L.popup({"maxWidth": "100%"});\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var html_c5f7a8dde6ea6f4ec3e9031ee4dec070 = $(`<div id="html_c5f7a8dde6ea6f4ec3e9031ee4dec070" style="width: 100.0%; height: 100.0%;">Durkin Park</div>`)[0];\n", | |
| " popup_d352d8a99f9ef1adc4eefe69f264447f.setContent(html_c5f7a8dde6ea6f4ec3e9031ee4dec070);\n", | |
| " \n", | |
| " \n", | |
| "\n", | |
| " circle_marker_50f2895ba8739786749231629a05a654.bindPopup(popup_d352d8a99f9ef1adc4eefe69f264447f)\n", | |
| " ;\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_8509e84694f364b000d415d86992976c = L.circleMarker(\n", | |
| " [41.75389, -87.76],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_7e82caa461909fb9b734919c40b3e77c);\n", | |
| " \n", | |
| " \n", | |
| " var popup_15d02c52297880a0f7b4dcbeb161f405 = L.popup({"maxWidth": "100%"});\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var html_40b20d7562bd625ac410e17331a354ad = $(`<div id="html_40b20d7562bd625ac410e17331a354ad" style="width: 100.0%; height: 100.0%;">St. Laurence High School</div>`)[0];\n", | |
| " popup_15d02c52297880a0f7b4dcbeb161f405.setContent(html_40b20d7562bd625ac410e17331a354ad);\n", | |
| " \n", | |
| " \n", | |
| "\n", | |
| " circle_marker_8509e84694f364b000d415d86992976c.bindPopup(popup_15d02c52297880a0f7b4dcbeb161f405)\n", | |
| " ;\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " \n", | |
| " var poly_line_09c5826139fce87c8d7b336a9612f0be = L.polyline(\n", | |
| " [[41.75389, -87.76], [41.739, -87.729]],\n", | |
| " {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": false, "fillColor": "green", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "noClip": false, "opacity": 1.0, "smoothFactor": 1.0, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_7e82caa461909fb9b734919c40b3e77c);\n", | |
| " \n", | |
| "</script>\n", | |
| "</html>\" width=\"800\" height=\"600\"style=\"border:none !important;\" \"allowfullscreen\" \"webkitallowfullscreen\" \"mozallowfullscreen\"></iframe>" | |
| ], | |
| "text/plain": [ | |
| "<folium.folium.Map at 0x257e8ec5970>" | |
| ] | |
| }, | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "f = folium.Figure(width=800, height=600)\n", | |
| "\n", | |
| "m = folium.Map(\n", | |
| " location=[mid_lat, mid_lon], \n", | |
| " zoom_start=zoom, \n", | |
| " tiles=\"Cartodb Dark Matter\",\n", | |
| ").add_to(f)\n", | |
| "\n", | |
| "# Add Durkin Park circle marker.\n", | |
| "folium.CircleMarker(\n", | |
| " location=[lat1, lon1], \n", | |
| " radius=7, \n", | |
| " popup=\"Durkin Park\",\n", | |
| " color=\"red\", \n", | |
| " fill_color=\"red\", \n", | |
| " fill=True,\n", | |
| " fill_opacity=1\n", | |
| ").add_to(m)\n", | |
| "\n", | |
| "# Add St. Laurence circle marker.\n", | |
| "folium.CircleMarker(\n", | |
| " location=[lat2, lon2], \n", | |
| " radius=7, \n", | |
| " popup=\"St. Laurence High School\",\n", | |
| " color=\"red\", \n", | |
| " fill_color=\"red\", \n", | |
| " fill=True,\n", | |
| " fill_opacity=1\n", | |
| ").add_to(m)\n", | |
| "\n", | |
| "# Connect parks with green line. \n", | |
| "points = [(lat2, lon2), (lat1, lon1)]\n", | |
| "folium.PolyLine(points, color=\"green\").add_to(m)\n", | |
| "\n", | |
| "m\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "Now that you have some background, use folium to complete the following exercise.\n", | |
| "\n", | |
| "\n", | |
| "#### **Exercise \\#1:**\n", | |
| "\n", | |
| "\n", | |
| "1. Place a purple marker on the GuideOne Home Office. Include a popup. \n", | |
| "2. Place a red marker on the Iowa Statehouse. Include a popup. \n", | |
| "3. Place a blue marker on Saylorville Lake. Include a popup. \n", | |
| "4. Connect the three POIs with a grey line.\n", | |
| "5. Render the map. Experiment with the zoom level to ensure all 3 POIs are visible in the map frame. \n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "\n", | |
| "##### YOUR CODE HERE #####\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<iframe srcdoc=\"<!DOCTYPE html>\n", | |
| "<html>\n", | |
| "<head>\n", | |
| " \n", | |
| " <meta http-equiv="content-type" content="text/html; charset=UTF-8" />\n", | |
| " \n", | |
| " <script>\n", | |
| " L_NO_TOUCH = false;\n", | |
| " L_DISABLE_3D = false;\n", | |
| " </script>\n", | |
| " \n", | |
| " <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>\n", | |
| " <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.js"></script>\n", | |
| " <script src="https://code.jquery.com/jquery-3.7.1.min.js"></script>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js"></script>\n", | |
| " <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/[email protected]/css/all.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css"/>\n", | |
| " \n", | |
| " <meta name="viewport" content="width=device-width,\n", | |
| " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", | |
| " <style>\n", | |
| " #map_2b91d6f5c506697856bd772201d45859 {\n", | |
| " position: relative;\n", | |
| " width: 100.0%;\n", | |
| " height: 100.0%;\n", | |
| " left: 0.0%;\n", | |
| " top: 0.0%;\n", | |
| " }\n", | |
| " .leaflet-container { font-size: 1rem; }\n", | |
| " </style>\n", | |
| " \n", | |
| "</head>\n", | |
| "<body>\n", | |
| " \n", | |
| " \n", | |
| " <div class="folium-map" id="map_2b91d6f5c506697856bd772201d45859" ></div>\n", | |
| " \n", | |
| "</body>\n", | |
| "<script>\n", | |
| " \n", | |
| " \n", | |
| " var map_2b91d6f5c506697856bd772201d45859 = L.map(\n", | |
| " "map_2b91d6f5c506697856bd772201d45859",\n", | |
| " {\n", | |
| " center: [41.661, -93.76466666666666],\n", | |
| " crs: L.CRS.EPSG3857,\n", | |
| " zoom: 11,\n", | |
| " zoomControl: true,\n", | |
| " preferCanvas: false,\n", | |
| " }\n", | |
| " );\n", | |
| "\n", | |
| " \n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var tile_layer_1a69c995032c31d5de45dbd76dde03e8 = L.tileLayer(\n", | |
| " "https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png",\n", | |
| " {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors \\u0026copy; \\u003ca href=\\"https://carto.com/attributions\\"\\u003eCARTO\\u003c/a\\u003e", "detectRetina": false, "maxNativeZoom": 20, "maxZoom": 20, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abcd", "tms": false}\n", | |
| " );\n", | |
| " \n", | |
| " \n", | |
| " tile_layer_1a69c995032c31d5de45dbd76dde03e8.addTo(map_2b91d6f5c506697856bd772201d45859);\n", | |
| " \n", | |
| " \n", | |
| " var marker_e52760d33f2c88165ba2001f2c062e12 = L.marker(\n", | |
| " [41.666, -93.993],\n", | |
| " {}\n", | |
| " ).addTo(map_2b91d6f5c506697856bd772201d45859);\n", | |
| " \n", | |
| " \n", | |
| " var icon_500385a735bba3762eb3b4fccda8405a = L.AwesomeMarkers.icon(\n", | |
| " {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "purple", "prefix": "glyphicon"}\n", | |
| " );\n", | |
| " marker_e52760d33f2c88165ba2001f2c062e12.setIcon(icon_500385a735bba3762eb3b4fccda8405a);\n", | |
| " \n", | |
| " \n", | |
| " var popup_8aeee189cdbc0b30aa54686645944bf7 = L.popup({"maxWidth": "100%"});\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var html_34e3f1d6f79a94186b97dac6d440a592 = $(`<div id="html_34e3f1d6f79a94186b97dac6d440a592" style="width: 100.0%; height: 100.0%;">G1 Home Office</div>`)[0];\n", | |
| " popup_8aeee189cdbc0b30aa54686645944bf7.setContent(html_34e3f1d6f79a94186b97dac6d440a592);\n", | |
| " \n", | |
| " \n", | |
| "\n", | |
| " marker_e52760d33f2c88165ba2001f2c062e12.bindPopup(popup_8aeee189cdbc0b30aa54686645944bf7)\n", | |
| " ;\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " \n", | |
| " var marker_32cc7ac5fe61f820be2515bb19f35142 = L.marker(\n", | |
| " [41.591, -93.603],\n", | |
| " {}\n", | |
| " ).addTo(map_2b91d6f5c506697856bd772201d45859);\n", | |
| " \n", | |
| " \n", | |
| " var icon_1ea250fd7e8940be72fe956a54cf2422 = L.AwesomeMarkers.icon(\n", | |
| " {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "red", "prefix": "glyphicon"}\n", | |
| " );\n", | |
| " marker_32cc7ac5fe61f820be2515bb19f35142.setIcon(icon_1ea250fd7e8940be72fe956a54cf2422);\n", | |
| " \n", | |
| " \n", | |
| " var popup_305871d99e9805601a15511b703a06f6 = L.popup({"maxWidth": "100%"});\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var html_3042b6f33ea32beba315306123128c93 = $(`<div id="html_3042b6f33ea32beba315306123128c93" style="width: 100.0%; height: 100.0%;">Iowa Statehouse</div>`)[0];\n", | |
| " popup_305871d99e9805601a15511b703a06f6.setContent(html_3042b6f33ea32beba315306123128c93);\n", | |
| " \n", | |
| " \n", | |
| "\n", | |
| " marker_32cc7ac5fe61f820be2515bb19f35142.bindPopup(popup_305871d99e9805601a15511b703a06f6)\n", | |
| " ;\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " \n", | |
| " var marker_deeeac73274f5b4fcd61cb9ecd1b8998 = L.marker(\n", | |
| " [41.726, -93.698],\n", | |
| " {}\n", | |
| " ).addTo(map_2b91d6f5c506697856bd772201d45859);\n", | |
| " \n", | |
| " \n", | |
| " var icon_83b4484adb6375b1a69b7646d718a3cd = L.AwesomeMarkers.icon(\n", | |
| " {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "white", "markerColor": "blue", "prefix": "glyphicon"}\n", | |
| " );\n", | |
| " marker_deeeac73274f5b4fcd61cb9ecd1b8998.setIcon(icon_83b4484adb6375b1a69b7646d718a3cd);\n", | |
| " \n", | |
| " \n", | |
| " var popup_bff5ad6a09456c2964e9c7e76180a446 = L.popup({"maxWidth": "100%"});\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var html_86c24a07f136cac89e47a9f989af675d = $(`<div id="html_86c24a07f136cac89e47a9f989af675d" style="width: 100.0%; height: 100.0%;">Saylorville Lake</div>`)[0];\n", | |
| " popup_bff5ad6a09456c2964e9c7e76180a446.setContent(html_86c24a07f136cac89e47a9f989af675d);\n", | |
| " \n", | |
| " \n", | |
| "\n", | |
| " marker_deeeac73274f5b4fcd61cb9ecd1b8998.bindPopup(popup_bff5ad6a09456c2964e9c7e76180a446)\n", | |
| " ;\n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " \n", | |
| " var poly_line_b618454d5f5fca65715741d0e9829788 = L.polyline(\n", | |
| " [[41.666, -93.993], [41.591, -93.603]],\n", | |
| " {"bubblingMouseEvents": true, "color": "grey", "dashArray": "5", "dashOffset": null, "fill": false, "fillColor": "grey", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "noClip": false, "opacity": 1.0, "smoothFactor": 1.0, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_2b91d6f5c506697856bd772201d45859);\n", | |
| " \n", | |
| " \n", | |
| " var poly_line_846e0a58022e21c5ada7081d4b9631c7 = L.polyline(\n", | |
| " [[41.666, -93.993], [41.726, -93.698]],\n", | |
| " {"bubblingMouseEvents": true, "color": "grey", "dashArray": "5", "dashOffset": null, "fill": false, "fillColor": "grey", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "noClip": false, "opacity": 1.0, "smoothFactor": 1.0, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_2b91d6f5c506697856bd772201d45859);\n", | |
| " \n", | |
| " \n", | |
| " var poly_line_2d765be475778029356ca6f960e320bf = L.polyline(\n", | |
| " [[41.591, -93.603], [41.726, -93.698]],\n", | |
| " {"bubblingMouseEvents": true, "color": "grey", "dashArray": "5", "dashOffset": null, "fill": false, "fillColor": "grey", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "noClip": false, "opacity": 1.0, "smoothFactor": 1.0, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_2b91d6f5c506697856bd772201d45859);\n", | |
| " \n", | |
| "</script>\n", | |
| "</html>\" width=\"900\" height=\"650\"style=\"border:none !important;\" \"allowfullscreen\" \"webkitallowfullscreen\" \"mozallowfullscreen\"></iframe>" | |
| ], | |
| "text/plain": [ | |
| "<folium.folium.Map at 0x257e8ec5670>" | |
| ] | |
| }, | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "##### Solution #####\n", | |
| "\n", | |
| "import folium\n", | |
| "\n", | |
| "zoom = 11\n", | |
| "\n", | |
| "# G1 home office coordinates.\n", | |
| "lat1, lon1 = 41.666, -93.993\n", | |
| "\n", | |
| "# Iowa Statehouse coordinates.\n", | |
| "lat2, lon2 = 41.591, -93.603\n", | |
| "\n", | |
| "# Saylorville Lake.\n", | |
| "lat3, lon3 = 41.726, -93.698\n", | |
| "\n", | |
| "# Use the average of the three POIs to center the map.\n", | |
| "mid_lat = (lat1 + lat2 + lat3) / 3\n", | |
| "mid_lon = (lon1 + lon2 + lon3) / 3\n", | |
| "\n", | |
| "\n", | |
| "f = folium.Figure(width=900, height=650)\n", | |
| "\n", | |
| "m = folium.Map(\n", | |
| " location=[mid_lat, mid_lon], \n", | |
| " zoom_start=zoom,\n", | |
| " tiles=\"Cartodb Positron\"\n", | |
| ").add_to(f)\n", | |
| "\n", | |
| "# Add G1 home office marker.\n", | |
| "folium.Marker(\n", | |
| " location=[lat1, lon1],\n", | |
| " popup=\"G1 Home Office\",\n", | |
| " icon=folium.Icon(color=\"purple\")\n", | |
| ").add_to(m)\n", | |
| "\n", | |
| "# Add Iowa Statehouse marker.\n", | |
| "folium.Marker(\n", | |
| " location=[lat2, lon2],\n", | |
| " popup=\"Iowa Statehouse\",\n", | |
| " icon=folium.Icon(color=\"red\")\n", | |
| ").add_to(m)\n", | |
| "\n", | |
| "# Add Saylorville Lake marker.\n", | |
| "folium.Marker(\n", | |
| " location=[lat3, lon3],\n", | |
| " popup=\"Saylorville Lake\",\n", | |
| " icon=folium.Icon(color=\"blue\")\n", | |
| ").add_to(m)\n", | |
| "\n", | |
| "\n", | |
| "folium.PolyLine([(lat1, lon1), (lat2, lon2)], color=\"grey\", dash_array=\"5\").add_to(m)\n", | |
| "folium.PolyLine([(lat1, lon1), (lat3, lon3)], color=\"grey\", dash_array=\"5\").add_to(m)\n", | |
| "folium.PolyLine([(lat2, lon2), (lat3, lon3)], color=\"grey\", dash_array=\"5\").add_to(m)\n", | |
| "\n", | |
| "m\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "\n", | |
| "#### **Exercise \\#2:**\n", | |
| "\n", | |
| "The International Space Station (ISS) is a collaborative effort among multiple nations, serving as a hub for scientific research and international cooperation in space exploration. The ISS orbits the Earth at an astonishing speed of approximately 17,500 miles per hour, completing an orbit around the planet approximately every 90 minutes. \n", | |
| "\n", | |
| "\n", | |
| "The `coords` list in the next cell represents the position as latitude-longitude pairs of the ISS sampled every minute for 20 minutes from the Open Notify API. Plot each of the 20 points as red circle markers connected by a red dashed line. Start with a zoom level of 3.\n", | |
| "\n", | |
| "> **NOTE**: It is not necessary to type `folium.CircleMarker` 20 times: Use a for loop to iterate over the `coords` list." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "\n", | |
| "\n", | |
| "coords = [\n", | |
| " (50.4183, -35.337),\n", | |
| " (49.3934, -29.7562),\n", | |
| " (48.0881, -24.4462),\n", | |
| " (46.5282, -19.4374),\n", | |
| " (44.7411, -14.743),\n", | |
| " (42.7364, -10.3267),\n", | |
| " (40.5727, -6.2481),\n", | |
| " (38.2576, -2.4505),\n", | |
| " (35.8123, 1.0896),\n", | |
| " (33.2554, 4.3975),\n", | |
| " (30.6031, 7.4986),\n", | |
| " (27.8697, 10.4178),\n", | |
| " (25.0674, 13.1786),\n", | |
| " (22.197, 15.8122), \n", | |
| " (19.2887, 18.3195),\n", | |
| " (16.3407, 20.7295),\n", | |
| " (13.3611, 23.059), \n", | |
| " (10.3562, 25.325),\n", | |
| " (7.3323, 27.5427), \n", | |
| " (4.2953, 29.7267)\n", | |
| " ]\n", | |
| "\n", | |
| "\n", | |
| "##### YOUR CODE HERE #####\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<iframe srcdoc=\"<!DOCTYPE html>\n", | |
| "<html>\n", | |
| "<head>\n", | |
| " \n", | |
| " <meta http-equiv="content-type" content="text/html; charset=UTF-8" />\n", | |
| " \n", | |
| " <script>\n", | |
| " L_NO_TOUCH = false;\n", | |
| " L_DISABLE_3D = false;\n", | |
| " </script>\n", | |
| " \n", | |
| " <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>\n", | |
| " <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.js"></script>\n", | |
| " <script src="https://code.jquery.com/jquery-3.7.1.min.js"></script>\n", | |
| " <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js"></script>\n", | |
| " <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/[email protected]/css/all.min.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>\n", | |
| " <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css"/>\n", | |
| " \n", | |
| " <meta name="viewport" content="width=device-width,\n", | |
| " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", | |
| " <style>\n", | |
| " #map_3879480e072e83340a46eeea2da5e3c8 {\n", | |
| " position: relative;\n", | |
| " width: 100.0%;\n", | |
| " height: 100.0%;\n", | |
| " left: 0.0%;\n", | |
| " top: 0.0%;\n", | |
| " }\n", | |
| " .leaflet-container { font-size: 1rem; }\n", | |
| " </style>\n", | |
| " \n", | |
| "</head>\n", | |
| "<body>\n", | |
| " \n", | |
| " \n", | |
| " <div class="folium-map" id="map_3879480e072e83340a46eeea2da5e3c8" ></div>\n", | |
| " \n", | |
| "</body>\n", | |
| "<script>\n", | |
| " \n", | |
| " \n", | |
| " var map_3879480e072e83340a46eeea2da5e3c8 = L.map(\n", | |
| " "map_3879480e072e83340a46eeea2da5e3c8",\n", | |
| " {\n", | |
| " center: [30.6031, 7.4986],\n", | |
| " crs: L.CRS.EPSG3857,\n", | |
| " zoom: 4,\n", | |
| " zoomControl: true,\n", | |
| " preferCanvas: false,\n", | |
| " }\n", | |
| " );\n", | |
| "\n", | |
| " \n", | |
| "\n", | |
| " \n", | |
| " \n", | |
| " var tile_layer_03ff0dbe970ae63cec7d939f8cc80954 = L.tileLayer(\n", | |
| " "https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png",\n", | |
| " {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors \\u0026copy; \\u003ca href=\\"https://carto.com/attributions\\"\\u003eCARTO\\u003c/a\\u003e", "detectRetina": false, "maxNativeZoom": 20, "maxZoom": 20, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abcd", "tms": false}\n", | |
| " );\n", | |
| " \n", | |
| " \n", | |
| " tile_layer_03ff0dbe970ae63cec7d939f8cc80954.addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_afe451cb676cad95e4cc3a57a640b211 = L.circleMarker(\n", | |
| " [50.4183, -35.337],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_c3648fda90786b775ee266c7b8b542ee = L.circleMarker(\n", | |
| " [49.3934, -29.7562],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_a6dcd10fb4874ea41f60088827081863 = L.circleMarker(\n", | |
| " [48.0881, -24.4462],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_19293171299c8a37a443896d7fa1a2a6 = L.circleMarker(\n", | |
| " [46.5282, -19.4374],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_13955a02bc6ee2563e4ab2fb945e17ac = L.circleMarker(\n", | |
| " [44.7411, -14.743],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_992ef3fb3692a9cb2e2c513073dc7174 = L.circleMarker(\n", | |
| " [42.7364, -10.3267],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_86474b7246c196a73c1e69ef1436f1e0 = L.circleMarker(\n", | |
| " [40.5727, -6.2481],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_c21f276a2245ccf12d28ace9284cc7a2 = L.circleMarker(\n", | |
| " [38.2576, -2.4505],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_d3bc46f6ace1de371fabc415a0e72766 = L.circleMarker(\n", | |
| " [35.8123, 1.0896],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_f339f7a7f4458eeccee7f7bb7d349186 = L.circleMarker(\n", | |
| " [33.2554, 4.3975],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_cd4da49c8fee149120ae5903ccd9d3d0 = L.circleMarker(\n", | |
| " [30.6031, 7.4986],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_fba167c60a38928177f0be03b4e59def = L.circleMarker(\n", | |
| " [27.8697, 10.4178],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_dd9726e671c9098a95681d46f29745fd = L.circleMarker(\n", | |
| " [25.0674, 13.1786],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_68b99281e89d3cb16f97813c048a705c = L.circleMarker(\n", | |
| " [22.197, 15.8122],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_8ec60417594e3b4b6fec90881543eb47 = L.circleMarker(\n", | |
| " [19.2887, 18.3195],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_3db77c15ce4c7c6c78249e74bfbfb9d1 = L.circleMarker(\n", | |
| " [16.3407, 20.7295],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_3cd47fdeda34f309df265414036e3ab7 = L.circleMarker(\n", | |
| " [13.3611, 23.059],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_ef6e24987e3d16ad90f91c22f6935aea = L.circleMarker(\n", | |
| " [10.3562, 25.325],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_6cd377bee2222e1a64f483741200ad7e = L.circleMarker(\n", | |
| " [7.3323, 27.5427],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var circle_marker_45059eab809c2012d82152fe4ea71105 = L.circleMarker(\n", | |
| " [4.2953, 29.7267],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| " \n", | |
| " var poly_line_2d39fc7aaf4ea632498297b240a7719d = L.polyline(\n", | |
| " [[50.4183, -35.337], [49.3934, -29.7562], [48.0881, -24.4462], [46.5282, -19.4374], [44.7411, -14.743], [42.7364, -10.3267], [40.5727, -6.2481], [38.2576, -2.4505], [35.8123, 1.0896], [33.2554, 4.3975], [30.6031, 7.4986], [27.8697, 10.4178], [25.0674, 13.1786], [22.197, 15.8122], [19.2887, 18.3195], [16.3407, 20.7295], [13.3611, 23.059], [10.3562, 25.325], [7.3323, 27.5427], [4.2953, 29.7267]],\n", | |
| " {"bubblingMouseEvents": true, "color": "red", "dashArray": "5", "dashOffset": null, "fill": false, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "noClip": false, "opacity": 1.0, "smoothFactor": 1.0, "stroke": true, "weight": 3}\n", | |
| " ).addTo(map_3879480e072e83340a46eeea2da5e3c8);\n", | |
| " \n", | |
| "</script>\n", | |
| "</html>\" width=\"900\" height=\"650\"style=\"border:none !important;\" \"allowfullscreen\" \"webkitallowfullscreen\" \"mozallowfullscreen\"></iframe>" | |
| ], | |
| "text/plain": [ | |
| "<folium.folium.Map at 0x257e8f7d3a0>" | |
| ] | |
| }, | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "##### Solution #####\n", | |
| "\n", | |
| "coords = [\n", | |
| " (50.4183, -35.337),\n", | |
| " (49.3934, -29.7562),\n", | |
| " (48.0881, -24.4462),\n", | |
| " (46.5282, -19.4374),\n", | |
| " (44.7411, -14.743),\n", | |
| " (42.7364, -10.3267),\n", | |
| " (40.5727, -6.2481),\n", | |
| " (38.2576, -2.4505),\n", | |
| " (35.8123, 1.0896),\n", | |
| " (33.2554, 4.3975),\n", | |
| " (30.6031, 7.4986),\n", | |
| " (27.8697, 10.4178),\n", | |
| " (25.0674, 13.1786),\n", | |
| " (22.197, 15.8122), \n", | |
| " (19.2887, 18.3195),\n", | |
| " (16.3407, 20.7295),\n", | |
| " (13.3611, 23.059), \n", | |
| " (10.3562, 25.325),\n", | |
| " (7.3323, 27.5427), \n", | |
| " (4.2953, 29.7267)\n", | |
| " ]\n", | |
| "\n", | |
| "f = folium.Figure(width=900, height=650)\n", | |
| "\n", | |
| "# Use middle coordinate sample to center the map. \n", | |
| "mid_lat = coords[10][0]\n", | |
| "mid_lon = coords[10][1]\n", | |
| "\n", | |
| "m = folium.Map(\n", | |
| " location=[mid_lat, mid_lon], \n", | |
| " tiles=\"Cartodb Positron\",\n", | |
| " zoom_start=4).add_to(f)\n", | |
| "\n", | |
| "for tt in coords:\n", | |
| "\n", | |
| " # Unpack lat and lon.\n", | |
| " lat, lon = tt\n", | |
| "\n", | |
| " folium.CircleMarker(\n", | |
| " location=[lat, lon], \n", | |
| " radius=5, \n", | |
| " color=\"red\", \n", | |
| " fill_color=\"red\", \n", | |
| " fill=True,\n", | |
| " fill_opacity=1\n", | |
| " ).add_to(m)\n", | |
| "\n", | |
| "\n", | |
| "# Connect coords with red dashed line.\n", | |
| "folium.PolyLine(coords, color=\"red\", dash_array=\"5\").add_to(m)\n", | |
| "\n", | |
| "m\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "Aside: [Distortions when representing GPS coordinates over large distances on a 2-D plane](https://www.jtrive.com/posts/folium-annimations/folium-annimations.html)\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "GPS coordinates are typically represented in latitude and longitude, which are angular measurements. Converting these angular measurements into distances on the Earth's surface requires trigonometric calculations which take into account the curvature of the Earth. \n", | |
| "\n", | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "\n", | |
| "A few facts about the Earth and computing distances between coordinate pairs:\n", | |
| "\n", | |
| "- The *haversine formula* is used to compute distances between geographic coordinate pairs.\n", | |
| "- The accepted average radius of the Earth is 3,959 miles. \n", | |
| "- The reason the Earth is not a perfect sphere is because the planet's diameter bulges at the equator due to the centrifugal force created by the earth’s constant rotation. The Earth is not a sphere, but an oblate spheroid. \n", | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "\n", | |
| "<p align=\"center\">\n", | |
| "<img src=https://earthhow.com/wp-content/uploads/2018/12/Earth-Shape-Oblate-Spheroid-Feature-678x378.png>\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "## **Part II: GeoPandas**\n", | |
| "\n", | |
| "See also:\n", | |
| "\n", | |
| "- [Introduction to GeoPandas](https://geopandas.org/en/stable/getting_started/introduction.html)\n", | |
| "- [Geographic v.s Projected Coordinate Systems](https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/gcs_vs_pcs)\n", | |
| "\n", | |
| "GeoPandas extends the capabilities of Pandas to handle geospatial data. GeoPandas exposes the GeoDataFrame, which builds on the Pandas DataFrame to support geometric operations and spatial attributes. A GeoDataFrame is essentially a DataFrame with an additional geometry column that contains geometric objects representing spatial features, such as points, lines, or polygons.\n", | |
| "\n", | |
| "\n", | |
| "<p align=\"center\">\n", | |
| "<img src=https://geopandas.org/en/v1.0.0/_images/geopandas_logo.png width=\"50%\" height=\"50%\">\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "GeoPandas integrates with Matplotlib to simplify the creation of maps and visualization of geospatial data. It provides built-in plotting functions for creating choropleth maps, scatter plots, and other types of geospatial visualizations directly from GeoDataFrames. It is widely used across various domains, and has replaced popular full-service geospatial analysis applications like QGIS.\n", | |
| "\n", | |
| "In this section, you'll work with geospatial datasets to analyze tornado events compiled by the National Oceanic and Atmospheric Administration (NOAA) that occurred in Iowa between 2008 thru 2024. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "<br>\n", | |
| "\n", | |
| "Load the *cb_2018_us_state_500k.zip* shapefile from the python-workshop repository into a GeoDataFrame using the GeoPandas `read_file` function, and name the GeoDataFrame `gdfus`. Print the number of records in the dataset, and display the first 8 rows.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "Cannot find header.dxf (GDAL_DATA is not defined)\n" | |
| ] | |
| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "dfus.shape: (56, 10)\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
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| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
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| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>STATEFP</th>\n", | |
| " <th>STATENS</th>\n", | |
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| " <th>GEOID</th>\n", | |
| " <th>STUSPS</th>\n", | |
| " <th>NAME</th>\n", | |
| " <th>LSAD</th>\n", | |
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| " <th>geometry</th>\n", | |
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| " <td>28</td>\n", | |
| " <td>MS</td>\n", | |
| " <td>Mississippi</td>\n", | |
| " <td>00</td>\n", | |
| " <td>121533519481</td>\n", | |
| " <td>3926919758</td>\n", | |
| " <td>MULTIPOLYGON (((-88.50297 30.21523, -88.49176 ...</td>\n", | |
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| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>37</td>\n", | |
| " <td>01027616</td>\n", | |
| " <td>0400000US37</td>\n", | |
| " <td>37</td>\n", | |
| " <td>NC</td>\n", | |
| " <td>North Carolina</td>\n", | |
| " <td>00</td>\n", | |
| " <td>125923656064</td>\n", | |
| " <td>13466071395</td>\n", | |
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| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>40</td>\n", | |
| " <td>01102857</td>\n", | |
| " <td>0400000US40</td>\n", | |
| " <td>40</td>\n", | |
| " <td>OK</td>\n", | |
| " <td>Oklahoma</td>\n", | |
| " <td>00</td>\n", | |
| " <td>177662925723</td>\n", | |
| " <td>3374587997</td>\n", | |
| " <td>POLYGON ((-103.00257 36.52659, -103.00219 36.6...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>51</td>\n", | |
| " <td>01779803</td>\n", | |
| " <td>0400000US51</td>\n", | |
| " <td>51</td>\n", | |
| " <td>VA</td>\n", | |
| " <td>Virginia</td>\n", | |
| " <td>00</td>\n", | |
| " <td>102257717110</td>\n", | |
| " <td>8528531774</td>\n", | |
| " <td>MULTIPOLYGON (((-75.74241 37.80835, -75.74151 ...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
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| " <td>54</td>\n", | |
| " <td>01779805</td>\n", | |
| " <td>0400000US54</td>\n", | |
| " <td>54</td>\n", | |
| " <td>WV</td>\n", | |
| " <td>West Virginia</td>\n", | |
| " <td>00</td>\n", | |
| " <td>62266474513</td>\n", | |
| " <td>489028543</td>\n", | |
| " <td>POLYGON ((-82.64320 38.16909, -82.64300 38.169...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5</th>\n", | |
| " <td>22</td>\n", | |
| " <td>01629543</td>\n", | |
| " <td>0400000US22</td>\n", | |
| " <td>22</td>\n", | |
| " <td>LA</td>\n", | |
| " <td>Louisiana</td>\n", | |
| " <td>00</td>\n", | |
| " <td>111897594374</td>\n", | |
| " <td>23753621895</td>\n", | |
| " <td>MULTIPOLYGON (((-88.86770 29.86155, -88.86566 ...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>6</th>\n", | |
| " <td>26</td>\n", | |
| " <td>01779789</td>\n", | |
| " <td>0400000US26</td>\n", | |
| " <td>26</td>\n", | |
| " <td>MI</td>\n", | |
| " <td>Michigan</td>\n", | |
| " <td>00</td>\n", | |
| " <td>146600952990</td>\n", | |
| " <td>103885855702</td>\n", | |
| " <td>MULTIPOLYGON (((-83.19159 42.03537, -83.18993 ...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7</th>\n", | |
| " <td>25</td>\n", | |
| " <td>00606926</td>\n", | |
| " <td>0400000US25</td>\n", | |
| " <td>25</td>\n", | |
| " <td>MA</td>\n", | |
| " <td>Massachusetts</td>\n", | |
| " <td>00</td>\n", | |
| " <td>20205125364</td>\n", | |
| " <td>7129925486</td>\n", | |
| " <td>MULTIPOLYGON (((-70.23405 41.28565, -70.22361 ...</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " STATEFP STATENS AFFGEOID GEOID STUSPS NAME LSAD \\\n", | |
| "0 28 01779790 0400000US28 28 MS Mississippi 00 \n", | |
| "1 37 01027616 0400000US37 37 NC North Carolina 00 \n", | |
| "2 40 01102857 0400000US40 40 OK Oklahoma 00 \n", | |
| "3 51 01779803 0400000US51 51 VA Virginia 00 \n", | |
| "4 54 01779805 0400000US54 54 WV West Virginia 00 \n", | |
| "5 22 01629543 0400000US22 22 LA Louisiana 00 \n", | |
| "6 26 01779789 0400000US26 26 MI Michigan 00 \n", | |
| "7 25 00606926 0400000US25 25 MA Massachusetts 00 \n", | |
| "\n", | |
| " ALAND AWATER \\\n", | |
| "0 121533519481 3926919758 \n", | |
| "1 125923656064 13466071395 \n", | |
| "2 177662925723 3374587997 \n", | |
| "3 102257717110 8528531774 \n", | |
| "4 62266474513 489028543 \n", | |
| "5 111897594374 23753621895 \n", | |
| "6 146600952990 103885855702 \n", | |
| "7 20205125364 7129925486 \n", | |
| "\n", | |
| " geometry \n", | |
| "0 MULTIPOLYGON (((-88.50297 30.21523, -88.49176 ... \n", | |
| "1 MULTIPOLYGON (((-75.72681 35.93584, -75.71827 ... \n", | |
| "2 POLYGON ((-103.00257 36.52659, -103.00219 36.6... \n", | |
| "3 MULTIPOLYGON (((-75.74241 37.80835, -75.74151 ... \n", | |
| "4 POLYGON ((-82.64320 38.16909, -82.64300 38.169... \n", | |
| "5 MULTIPOLYGON (((-88.86770 29.86155, -88.86566 ... \n", | |
| "6 MULTIPOLYGON (((-83.19159 42.03537, -83.18993 ... \n", | |
| "7 MULTIPOLYGON (((-70.23405 41.28565, -70.22361 ... " | |
| ] | |
| }, | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "import geopandas as gpd\n", | |
| "import numpy as np\n", | |
| "import pandas as pd\n", | |
| "\n", | |
| "np.set_printoptions(suppress=True, precision=5, linewidth=1000)\n", | |
| "pd.options.mode.chained_assignment = None\n", | |
| "pd.set_option('display.max_columns', None)\n", | |
| "pd.set_option('display.width', None)\n", | |
| "pd.set_option(\"display.precision\", 5)\n", | |
| "\n", | |
| "\n", | |
| "gdfus = gpd.read_file(\"../datasets/cb_2018_us_state_500k.zip\").to_crs(\"EPSG:4326\")\n", | |
| "\n", | |
| "print(f\"dfus.shape: {gdfus.shape}\\n\")\n", | |
| "\n", | |
| "gdfus.head(8)\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "Notice that we explicitly call `.to_crs(\"EPSG:4326\")` when reading in the US shapefile. Doing so transforms the coordinate representation to longitude-latitude pairs, which is consistent with the tornado event dataset used later." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "<br>\n", | |
| "\n", | |
| "2. Plot the boundaries of `gdfus`. Color the boundaries black." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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", | |
| "text/plain": [ | |
| "<Figure size 900x650 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "fig, ax = plt.subplots(1, 1, figsize=(9, 6.5), tight_layout=True)\n", | |
| "ax.set_title(\"United States\", fontsize=12, fontweight=\"bold\")\n", | |
| "gdfus.boundary.plot(ax=ax, edgecolor=\"black\", linewidth=.50)\n", | |
| "ax.axis(\"off\")\n", | |
| "plt.show()\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "The focus of our analysis is on the Continental U.S., so let's filter `gdfus` to the bounding region enclosing the lower 48 states:\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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", | |
| "text/plain": [ | |
| "<Figure size 900x650 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "# Lower 48 bounding box.\n", | |
| "lon_min, lat_min, lon_max, lat_max = -125, 24.6, -65, 50\n", | |
| "gdfus = gdfus.cx[lon_min:lon_max, lat_min:lat_max]\n", | |
| "\n", | |
| "# Replot the map.\n", | |
| "fig, ax = plt.subplots(1, 1, figsize=(9, 6.5), tight_layout=True)\n", | |
| "ax.set_title(\"Continential United States\", fontsize=12, fontweight=\"bold\")\n", | |
| "gdfus.boundary.plot(ax=ax, edgecolor=\"black\", linewidth=.50)\n", | |
| "ax.axis(\"off\")\n", | |
| "plt.show()\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "State names can be added as an overlay using a lambda function: " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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", | |
| "text/plain": [ | |
| "<Figure size 900x650 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "fig, ax = plt.subplots(1, 1, figsize=(9, 6.5), tight_layout=True)\n", | |
| "ax.set_title(\"Continential United States\", fontsize=12, fontweight=\"bold\")\n", | |
| "gdfus.boundary.plot(ax=ax, edgecolor=\"black\", linewidth=.50)\n", | |
| "\n", | |
| "# Add state names to the plot.\n", | |
| "gdfus.apply(\n", | |
| " lambda p: ax.annotate(\n", | |
| " p.NAME, \n", | |
| " xy=p.geometry.centroid.coords[0], \n", | |
| " ha='center', \n", | |
| " fontsize=6), \n", | |
| " axis=1\n", | |
| ")\n", | |
| "\n", | |
| "ax.axis(\"off\")\n", | |
| "plt.show()\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "<br>\n", | |
| "\n", | |
| "The *noaa-tornadoes-2009-2024.csv.gz* file contains severe weather events in the US from 2009-2024. Read the file into a Pandas DataFrame named `dfevents`. Display the first 10 rows:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 15, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "dfevents.shape: (20857, 17)\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>EVENT_ID</th>\n", | |
| " <th>STATE</th>\n", | |
| " <th>YEAR</th>\n", | |
| " <th>MONTH_NAME</th>\n", | |
| " <th>EVENT_TYPE</th>\n", | |
| " <th>TOR_F_SCALE</th>\n", | |
| " <th>BEGIN_DATE_TIME</th>\n", | |
| " <th>END_DATE_TIME</th>\n", | |
| " <th>BEGIN_LAT</th>\n", | |
| " <th>BEGIN_LON</th>\n", | |
| " <th>END_LAT</th>\n", | |
| " <th>END_LON</th>\n", | |
| " <th>DAMAGE_PROPERTY</th>\n", | |
| " <th>DAMAGE_CROPS</th>\n", | |
| " <th>INJURIES_DIRECT</th>\n", | |
| " <th>INJURIES_INDIRECT</th>\n", | |
| " <th>EVENT_NARRATIVE</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>199172</td>\n", | |
| " <td>TEXAS</td>\n", | |
| " <td>2009</td>\n", | |
| " <td>November</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF1</td>\n", | |
| " <td>29-NOV-09 17:57:00</td>\n", | |
| " <td>29-NOV-09 17:58:00</td>\n", | |
| " <td>33.4744</td>\n", | |
| " <td>-94.4295</td>\n", | |
| " <td>33.4776</td>\n", | |
| " <td>-94.4245</td>\n", | |
| " <td>75.00K</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>An EF1 tornado briefly touched down in New Bos...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>203900</td>\n", | |
| " <td>OREGON</td>\n", | |
| " <td>2009</td>\n", | |
| " <td>November</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF0</td>\n", | |
| " <td>06-NOV-09 21:30:00</td>\n", | |
| " <td>06-NOV-09 21:40:00</td>\n", | |
| " <td>45.0100</td>\n", | |
| " <td>-124.0100</td>\n", | |
| " <td>45.0100</td>\n", | |
| " <td>-124.0100</td>\n", | |
| " <td>35.00K</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>The tornado caused widespread damage to a neig...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>203474</td>\n", | |
| " <td>KENTUCKY</td>\n", | |
| " <td>2009</td>\n", | |
| " <td>October</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF1</td>\n", | |
| " <td>09-OCT-09 15:20:00</td>\n", | |
| " <td>09-OCT-09 15:23:00</td>\n", | |
| " <td>37.6263</td>\n", | |
| " <td>-83.9644</td>\n", | |
| " <td>37.6263</td>\n", | |
| " <td>-83.9644</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>Brief EF1 Tornado Touchdown confirmed by NWS S...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>203005</td>\n", | |
| " <td>LOUISIANA</td>\n", | |
| " <td>2009</td>\n", | |
| " <td>December</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF0</td>\n", | |
| " <td>24-DEC-09 04:21:00</td>\n", | |
| " <td>24-DEC-09 04:25:00</td>\n", | |
| " <td>31.5842</td>\n", | |
| " <td>-93.4995</td>\n", | |
| " <td>31.6228</td>\n", | |
| " <td>-93.4970</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>Several pine trees were snapped along hwy. 175...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>202997</td>\n", | |
| " <td>LOUISIANA</td>\n", | |
| " <td>2009</td>\n", | |
| " <td>December</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF1</td>\n", | |
| " <td>24-DEC-09 08:20:00</td>\n", | |
| " <td>24-DEC-09 08:26:00</td>\n", | |
| " <td>32.7700</td>\n", | |
| " <td>-92.5400</td>\n", | |
| " <td>32.8400</td>\n", | |
| " <td>-92.4800</td>\n", | |
| " <td>100.00K</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>Numerous trees were downed, with trees damagin...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5</th>\n", | |
| " <td>167751</td>\n", | |
| " <td>VIRGINIA</td>\n", | |
| " <td>2009</td>\n", | |
| " <td>April</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF0</td>\n", | |
| " <td>20-APR-09 18:45:00</td>\n", | |
| " <td>20-APR-09 19:00:00</td>\n", | |
| " <td>36.9500</td>\n", | |
| " <td>-76.7800</td>\n", | |
| " <td>36.9853</td>\n", | |
| " <td>-76.6446</td>\n", | |
| " <td>5.00K</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>EF0 tornado tracked along a nearly 8 mile trac...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>6</th>\n", | |
| " <td>146677</td>\n", | |
| " <td>GEORGIA</td>\n", | |
| " <td>2009</td>\n", | |
| " <td>February</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF0</td>\n", | |
| " <td>18-FEB-09 19:49:00</td>\n", | |
| " <td>18-FEB-09 19:53:00</td>\n", | |
| " <td>33.6420</td>\n", | |
| " <td>-82.5840</td>\n", | |
| " <td>33.6380</td>\n", | |
| " <td>-82.5290</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>50.00K</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>Storm survey found the tornado path coming out...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7</th>\n", | |
| " <td>200666</td>\n", | |
| " <td>LOUISIANA</td>\n", | |
| " <td>2009</td>\n", | |
| " <td>December</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF0</td>\n", | |
| " <td>24-DEC-09 05:36:00</td>\n", | |
| " <td>24-DEC-09 05:39:00</td>\n", | |
| " <td>32.0301</td>\n", | |
| " <td>-93.2340</td>\n", | |
| " <td>32.0636</td>\n", | |
| " <td>-93.2084</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>A few trees large trees were downed along with...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>8</th>\n", | |
| " <td>147391</td>\n", | |
| " <td>ALABAMA</td>\n", | |
| " <td>2009</td>\n", | |
| " <td>January</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF1</td>\n", | |
| " <td>10-JAN-09 17:05:00</td>\n", | |
| " <td>10-JAN-09 17:08:00</td>\n", | |
| " <td>31.2690</td>\n", | |
| " <td>-88.0320</td>\n", | |
| " <td>31.2751</td>\n", | |
| " <td>-88.0055</td>\n", | |
| " <td>2.50M</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>An EF-1 tonado developed near the intersection...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>9</th>\n", | |
| " <td>159422</td>\n", | |
| " <td>MISSOURI</td>\n", | |
| " <td>2009</td>\n", | |
| " <td>April</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF0</td>\n", | |
| " <td>09-APR-09 19:20:00</td>\n", | |
| " <td>09-APR-09 19:22:00</td>\n", | |
| " <td>37.0578</td>\n", | |
| " <td>-93.3205</td>\n", | |
| " <td>37.0749</td>\n", | |
| " <td>-93.2998</td>\n", | |
| " <td>100.00K</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>A National Weather Service storm survey reveal...</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " EVENT_ID STATE YEAR MONTH_NAME EVENT_TYPE TOR_F_SCALE \\\n", | |
| "0 199172 TEXAS 2009 November Tornado EF1 \n", | |
| "1 203900 OREGON 2009 November Tornado EF0 \n", | |
| "2 203474 KENTUCKY 2009 October Tornado EF1 \n", | |
| "3 203005 LOUISIANA 2009 December Tornado EF0 \n", | |
| "4 202997 LOUISIANA 2009 December Tornado EF1 \n", | |
| "5 167751 VIRGINIA 2009 April Tornado EF0 \n", | |
| "6 146677 GEORGIA 2009 February Tornado EF0 \n", | |
| "7 200666 LOUISIANA 2009 December Tornado EF0 \n", | |
| "8 147391 ALABAMA 2009 January Tornado EF1 \n", | |
| "9 159422 MISSOURI 2009 April Tornado EF0 \n", | |
| "\n", | |
| " BEGIN_DATE_TIME END_DATE_TIME BEGIN_LAT BEGIN_LON END_LAT \\\n", | |
| "0 29-NOV-09 17:57:00 29-NOV-09 17:58:00 33.4744 -94.4295 33.4776 \n", | |
| "1 06-NOV-09 21:30:00 06-NOV-09 21:40:00 45.0100 -124.0100 45.0100 \n", | |
| "2 09-OCT-09 15:20:00 09-OCT-09 15:23:00 37.6263 -83.9644 37.6263 \n", | |
| "3 24-DEC-09 04:21:00 24-DEC-09 04:25:00 31.5842 -93.4995 31.6228 \n", | |
| "4 24-DEC-09 08:20:00 24-DEC-09 08:26:00 32.7700 -92.5400 32.8400 \n", | |
| "5 20-APR-09 18:45:00 20-APR-09 19:00:00 36.9500 -76.7800 36.9853 \n", | |
| "6 18-FEB-09 19:49:00 18-FEB-09 19:53:00 33.6420 -82.5840 33.6380 \n", | |
| "7 24-DEC-09 05:36:00 24-DEC-09 05:39:00 32.0301 -93.2340 32.0636 \n", | |
| "8 10-JAN-09 17:05:00 10-JAN-09 17:08:00 31.2690 -88.0320 31.2751 \n", | |
| "9 09-APR-09 19:20:00 09-APR-09 19:22:00 37.0578 -93.3205 37.0749 \n", | |
| "\n", | |
| " END_LON DAMAGE_PROPERTY DAMAGE_CROPS INJURIES_DIRECT INJURIES_INDIRECT \\\n", | |
| "0 -94.4245 75.00K 0.00K 0 0 \n", | |
| "1 -124.0100 35.00K 0.00K 0 0 \n", | |
| "2 -83.9644 0.00K 0.00K 0 0 \n", | |
| "3 -93.4970 0.00K 0.00K 0 0 \n", | |
| "4 -92.4800 100.00K 0.00K 0 0 \n", | |
| "5 -76.6446 5.00K 0.00K 0 0 \n", | |
| "6 -82.5290 0.00K 50.00K 0 0 \n", | |
| "7 -93.2084 0.00K 0.00K 0 0 \n", | |
| "8 -88.0055 2.50M 0.00K 0 0 \n", | |
| "9 -93.2998 100.00K 0.00K 0 0 \n", | |
| "\n", | |
| " EVENT_NARRATIVE \n", | |
| "0 An EF1 tornado briefly touched down in New Bos... \n", | |
| "1 The tornado caused widespread damage to a neig... \n", | |
| "2 Brief EF1 Tornado Touchdown confirmed by NWS S... \n", | |
| "3 Several pine trees were snapped along hwy. 175... \n", | |
| "4 Numerous trees were downed, with trees damagin... \n", | |
| "5 EF0 tornado tracked along a nearly 8 mile trac... \n", | |
| "6 Storm survey found the tornado path coming out... \n", | |
| "7 A few trees large trees were downed along with... \n", | |
| "8 An EF-1 tonado developed near the intersection... \n", | |
| "9 A National Weather Service storm survey reveal... " | |
| ] | |
| }, | |
| "execution_count": 15, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "dfevents = pd.read_csv(\"../datasets/noaa-tornadoes-2009-2024.csv.gz\", low_memory=False)\n", | |
| "\n", | |
| "print(f\"dfevents.shape: {dfevents.shape}\")\n", | |
| "\n", | |
| "dfevents.head(10)\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "Filter `dfevents` using the following criteria:\n", | |
| "\n", | |
| "- Keep only events from 2014 to present.\n", | |
| "- Keep only events with EVENT_TYPE = 'Tornado'.\n", | |
| "- Exclude tornadoes with TOR_F_TYPE \"EFU\", \"EF0\" or \"EF1\".\n", | |
| "- Drop records if BEGIN_LAT or BEGIN_LON is missing.\n", | |
| "\n", | |
| "We'll use method chaining to filter the dataset. \n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "dfevents shape post-filter: (1571, 17).\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>EVENT_ID</th>\n", | |
| " <th>STATE</th>\n", | |
| " <th>YEAR</th>\n", | |
| " <th>MONTH_NAME</th>\n", | |
| " <th>EVENT_TYPE</th>\n", | |
| " <th>TOR_F_SCALE</th>\n", | |
| " <th>BEGIN_DATE_TIME</th>\n", | |
| " <th>END_DATE_TIME</th>\n", | |
| " <th>BEGIN_LAT</th>\n", | |
| " <th>BEGIN_LON</th>\n", | |
| " <th>END_LAT</th>\n", | |
| " <th>END_LON</th>\n", | |
| " <th>DAMAGE_PROPERTY</th>\n", | |
| " <th>DAMAGE_CROPS</th>\n", | |
| " <th>INJURIES_DIRECT</th>\n", | |
| " <th>INJURIES_INDIRECT</th>\n", | |
| " <th>EVENT_NARRATIVE</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>543875</td>\n", | |
| " <td>NORTH CAROLINA</td>\n", | |
| " <td>2014</td>\n", | |
| " <td>September</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF2</td>\n", | |
| " <td>08-SEP-14 15:45:00</td>\n", | |
| " <td>08-SEP-14 15:46:00</td>\n", | |
| " <td>34.8280</td>\n", | |
| " <td>-77.9020</td>\n", | |
| " <td>34.8300</td>\n", | |
| " <td>-77.9010</td>\n", | |
| " <td>200.00K</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0</td>\n", | |
| " <td>A short lived EF2 tornado with winds estimated...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>526506</td>\n", | |
| " <td>TENNESSEE</td>\n", | |
| " <td>2014</td>\n", | |
| " <td>July</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF3</td>\n", | |
| " <td>27-JUL-14 16:59:00</td>\n", | |
| " <td>27-JUL-14 17:02:00</td>\n", | |
| " <td>36.4495</td>\n", | |
| " <td>-83.9318</td>\n", | |
| " <td>36.4368</td>\n", | |
| " <td>-83.9034</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>An EF3 tornado with estimated winds between 14...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>552175</td>\n", | |
| " <td>MISSISSIPPI</td>\n", | |
| " <td>2014</td>\n", | |
| " <td>December</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF3</td>\n", | |
| " <td>23-DEC-14 14:20:00</td>\n", | |
| " <td>23-DEC-14 14:36:00</td>\n", | |
| " <td>31.2273</td>\n", | |
| " <td>-89.8331</td>\n", | |
| " <td>31.3248</td>\n", | |
| " <td>-89.6546</td>\n", | |
| " <td>25.00M</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>50</td>\n", | |
| " <td>0</td>\n", | |
| " <td>This tornado first touched down just east of t...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>510331</td>\n", | |
| " <td>KANSAS</td>\n", | |
| " <td>2014</td>\n", | |
| " <td>June</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF3</td>\n", | |
| " <td>03-JUN-14 21:30:00</td>\n", | |
| " <td>03-JUN-14 21:43:00</td>\n", | |
| " <td>39.9700</td>\n", | |
| " <td>-96.0455</td>\n", | |
| " <td>39.9274</td>\n", | |
| " <td>-95.9397</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>2</td>\n", | |
| " <td>0</td>\n", | |
| " <td>A tornado touched down around the intersection...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>552705</td>\n", | |
| " <td>MISSISSIPPI</td>\n", | |
| " <td>2014</td>\n", | |
| " <td>December</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF2</td>\n", | |
| " <td>23-DEC-14 15:22:00</td>\n", | |
| " <td>23-DEC-14 15:27:00</td>\n", | |
| " <td>31.6986</td>\n", | |
| " <td>-89.2239</td>\n", | |
| " <td>31.7595</td>\n", | |
| " <td>-89.1538</td>\n", | |
| " <td>2.20M</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>This tornado started along Maxey Rd and tracke...</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " EVENT_ID STATE YEAR MONTH_NAME EVENT_TYPE TOR_F_SCALE \\\n", | |
| "0 543875 NORTH CAROLINA 2014 September Tornado EF2 \n", | |
| "1 526506 TENNESSEE 2014 July Tornado EF3 \n", | |
| "2 552175 MISSISSIPPI 2014 December Tornado EF3 \n", | |
| "3 510331 KANSAS 2014 June Tornado EF3 \n", | |
| "4 552705 MISSISSIPPI 2014 December Tornado EF2 \n", | |
| "\n", | |
| " BEGIN_DATE_TIME END_DATE_TIME BEGIN_LAT BEGIN_LON END_LAT \\\n", | |
| "0 08-SEP-14 15:45:00 08-SEP-14 15:46:00 34.8280 -77.9020 34.8300 \n", | |
| "1 27-JUL-14 16:59:00 27-JUL-14 17:02:00 36.4495 -83.9318 36.4368 \n", | |
| "2 23-DEC-14 14:20:00 23-DEC-14 14:36:00 31.2273 -89.8331 31.3248 \n", | |
| "3 03-JUN-14 21:30:00 03-JUN-14 21:43:00 39.9700 -96.0455 39.9274 \n", | |
| "4 23-DEC-14 15:22:00 23-DEC-14 15:27:00 31.6986 -89.2239 31.7595 \n", | |
| "\n", | |
| " END_LON DAMAGE_PROPERTY DAMAGE_CROPS INJURIES_DIRECT INJURIES_INDIRECT \\\n", | |
| "0 -77.9010 200.00K 0.00K 1 0 \n", | |
| "1 -83.9034 NaN NaN 0 0 \n", | |
| "2 -89.6546 25.00M 0.00K 50 0 \n", | |
| "3 -95.9397 NaN NaN 2 0 \n", | |
| "4 -89.1538 2.20M 0.00K 0 0 \n", | |
| "\n", | |
| " EVENT_NARRATIVE \n", | |
| "0 A short lived EF2 tornado with winds estimated... \n", | |
| "1 An EF3 tornado with estimated winds between 14... \n", | |
| "2 This tornado first touched down just east of t... \n", | |
| "3 A tornado touched down around the intersection... \n", | |
| "4 This tornado started along Maxey Rd and tracke... " | |
| ] | |
| }, | |
| "execution_count": 16, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "dfevents = (\n", | |
| " dfevents[\n", | |
| " (dfevents.YEAR >= 2014) & \n", | |
| " (dfevents.EVENT_TYPE == \"Tornado\") & \n", | |
| " (~dfevents.TOR_F_SCALE.isin([\"EFU\", \"EF0\", \"EF1\"]))\n", | |
| " ]\n", | |
| " .dropna(subset=[\"BEGIN_LAT\", \"BEGIN_LON\"])\n", | |
| " .reset_index(drop=True)\n", | |
| ")\n", | |
| "\n", | |
| "print(f\"dfevents shape post-filter: {dfevents.shape}.\")\n", | |
| "\n", | |
| "dfevents.head()\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "We can create a heatmap using [seaborn's heatmap function](https://seaborn.pydata.org/generated/seaborn.heatmap.html) with TOR_F_SCALE along the horizontal axis and month along the vertical axis, where each cell represents the number of tornadoes of a given severity for each month. We map month names to two-digit month codes to ensure correct ordering on the x-axis:\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 17, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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", | |
| "text/plain": [ | |
| "<Figure size 640x480 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "import seaborn as sns\n", | |
| "\n", | |
| "month_to_number = {\n", | |
| " \"January\": \"01\",\n", | |
| " \"February\": \"02\",\n", | |
| " \"March\": \"03\",\n", | |
| " \"April\": \"04\",\n", | |
| " \"May\": \"05\",\n", | |
| " \"June\": \"06\",\n", | |
| " \"July\": \"07\",\n", | |
| " \"August\": \"08\",\n", | |
| " \"September\": \"09\",\n", | |
| " \"October\": \"10\",\n", | |
| " \"November\": \"11\",\n", | |
| " \"December\": \"12\"\n", | |
| "}\n", | |
| "\n", | |
| "# Assign two digit month code based on MONTH_NAME.\n", | |
| "dfevents[\"MM\"] = dfevents[\"MONTH_NAME\"].map(month_to_number)\n", | |
| "\n", | |
| "# Group data by MM and TOR_F_SCALE, and count the number in each group.\n", | |
| "dfgrp = dfevents.groupby([\"MM\", \"TOR_F_SCALE\"], as_index=False).size()\n", | |
| "\n", | |
| "# Pivot grouped data.\n", | |
| "dfhm = dfgrp.pivot_table(values=\"size\", index=\"MM\", columns=\"TOR_F_SCALE\", aggfunc=\"sum\").fillna(0)\n", | |
| "sns.heatmap(dfhm, cmap=\"turbo\", annot=True, fmt=\"g\", cbar=False)\n", | |
| "plt.show()\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "<br>\n", | |
| "\n", | |
| "The [Enhanced Fujita Scale](https://www.weather.gov/oun/efscale#:~:text=The%20Enhanced%20Fujita%20Scale%20or,wind%20speeds%20and%20related%20damage.) (EF Scale) is a classification system for tornadoes based on the damage they cause. The scale ranges from EF0 to EF5, with EF0 being the weakest and EF5 being the strongest.\n", | |
| "\n", | |
| "- EFU: Unknown\n", | |
| "- EF0: 65-85 mph (Light)\n", | |
| "- EF1: 86-110 mph (Moderate)\n", | |
| "- EF2: 111-135 mph (Considerable)\n", | |
| "- EF3: 136-165 mph (Severe)\n", | |
| "- EF4: 166-200 mph (Devastating)\n", | |
| "- EF5: >200 mph (Incredible)\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "The National Oceanic and Atmospheric Administration (NOAA) considers tornado season in the United States to be March through July. \n", | |
| "\n", | |
| "i. Does our data agree with this heuristic? \n", | |
| "ii. Which month has the most tornadoes of any severity? \n", | |
| "iii. Which month has the fewest tornadoes of any severity? \n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "Let's assess the average property damage for each class of tornado. The DAMAGE_PROPERTY column has damage estimates, but it isn't in the most convenient format. We create a user-defined function to derive a numeric column of property damages. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 18, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "\n", | |
| "def convert_to_numeric(damage_str):\n", | |
| " if pd.isna(damage_str):\n", | |
| " return 0 \n", | |
| " damage_str = str(damage_str).upper()\n", | |
| "\n", | |
| " if \"K\" in damage_str:\n", | |
| " return float(damage_str.replace(\"K\", \"\")) * 1000\n", | |
| " elif \"M\" in damage_str:\n", | |
| " return float(damage_str.replace(\"M\", \"\")) * 1000000\n", | |
| " elif \"B\" in damage_str: \n", | |
| " return float(damage_str.replace(\"B\", \"\")) * 1000000000\n", | |
| "\n", | |
| "# Apply function to each row of dfevents. \n", | |
| "dfevents[\"DAMAGE_PROPERTY_NUMERIC\"] = dfevents[\"DAMAGE_PROPERTY\"].map(convert_to_numeric)\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 19, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>TOR_F_SCALE</th>\n", | |
| " <th>tornado_count</th>\n", | |
| " <th>total_damage_property</th>\n", | |
| " <th>average_damage_property</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>EF2</td>\n", | |
| " <td>1242</td>\n", | |
| " <td>1.85693e+09</td>\n", | |
| " <td>1.49511e+06</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>EF3</td>\n", | |
| " <td>280</td>\n", | |
| " <td>6.23223e+09</td>\n", | |
| " <td>2.22580e+07</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>EF4</td>\n", | |
| " <td>49</td>\n", | |
| " <td>1.31667e+09</td>\n", | |
| " <td>2.68709e+07</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " TOR_F_SCALE tornado_count total_damage_property average_damage_property\n", | |
| "0 EF2 1242 1.85693e+09 1.49511e+06\n", | |
| "1 EF3 280 6.23223e+09 2.22580e+07\n", | |
| "2 EF4 49 1.31667e+09 2.68709e+07" | |
| ] | |
| }, | |
| "execution_count": 19, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "# Get count, total and average property damage by F-class.\n", | |
| "dfsumm = dfevents.groupby(\"TOR_F_SCALE\").agg(\n", | |
| " tornado_count=('TOR_F_SCALE', 'size'),\n", | |
| " total_damage_property=('DAMAGE_PROPERTY_NUMERIC', 'sum'),\n", | |
| " average_damage_property=('DAMAGE_PROPERTY_NUMERIC', 'mean')\n", | |
| ").reset_index()\n", | |
| "\n", | |
| "dfsumm\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "At present, `dfevents` is a regular Pandas DataFrame. In order to take advantage of GeoPandas geospatial functionality, it needs to be transformed into a GeoDataFrame. BEGIN_LON and BEGIN_LAT will be used to define the point geometry for each tornado event (our shapefile had POLYGON geometry, our event data has POINT geometry). \n", | |
| "\n", | |
| "To do so, we use GeoPandas `points_from_xy`. **Notice that BEGIN_LON (the longitude column) goes first in the call to `gpd.points_from_xy`.** As before, setting the coordinate reference system to \"EPSG:4326\" tells GeoPandas that the geospatial context is lat-lon (actually, lon-lat) pairs. \n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 20, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "gdfevents.shape: (1571, 20)\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>EVENT_ID</th>\n", | |
| " <th>STATE</th>\n", | |
| " <th>YEAR</th>\n", | |
| " <th>MONTH_NAME</th>\n", | |
| " <th>EVENT_TYPE</th>\n", | |
| " <th>TOR_F_SCALE</th>\n", | |
| " <th>BEGIN_DATE_TIME</th>\n", | |
| " <th>END_DATE_TIME</th>\n", | |
| " <th>BEGIN_LAT</th>\n", | |
| " <th>BEGIN_LON</th>\n", | |
| " <th>END_LAT</th>\n", | |
| " <th>END_LON</th>\n", | |
| " <th>DAMAGE_PROPERTY</th>\n", | |
| " <th>DAMAGE_CROPS</th>\n", | |
| " <th>INJURIES_DIRECT</th>\n", | |
| " <th>INJURIES_INDIRECT</th>\n", | |
| " <th>EVENT_NARRATIVE</th>\n", | |
| " <th>MM</th>\n", | |
| " <th>DAMAGE_PROPERTY_NUMERIC</th>\n", | |
| " <th>geometry</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>543875</td>\n", | |
| " <td>NORTH CAROLINA</td>\n", | |
| " <td>2014</td>\n", | |
| " <td>September</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF2</td>\n", | |
| " <td>08-SEP-14 15:45:00</td>\n", | |
| " <td>08-SEP-14 15:46:00</td>\n", | |
| " <td>34.8280</td>\n", | |
| " <td>-77.9020</td>\n", | |
| " <td>34.8300</td>\n", | |
| " <td>-77.9010</td>\n", | |
| " <td>200.00K</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0</td>\n", | |
| " <td>A short lived EF2 tornado with winds estimated...</td>\n", | |
| " <td>09</td>\n", | |
| " <td>200000.0</td>\n", | |
| " <td>POINT (-77.90200 34.82800)</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>526506</td>\n", | |
| " <td>TENNESSEE</td>\n", | |
| " <td>2014</td>\n", | |
| " <td>July</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF3</td>\n", | |
| " <td>27-JUL-14 16:59:00</td>\n", | |
| " <td>27-JUL-14 17:02:00</td>\n", | |
| " <td>36.4495</td>\n", | |
| " <td>-83.9318</td>\n", | |
| " <td>36.4368</td>\n", | |
| " <td>-83.9034</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>An EF3 tornado with estimated winds between 14...</td>\n", | |
| " <td>07</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>POINT (-83.93180 36.44950)</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>552175</td>\n", | |
| " <td>MISSISSIPPI</td>\n", | |
| " <td>2014</td>\n", | |
| " <td>December</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF3</td>\n", | |
| " <td>23-DEC-14 14:20:00</td>\n", | |
| " <td>23-DEC-14 14:36:00</td>\n", | |
| " <td>31.2273</td>\n", | |
| " <td>-89.8331</td>\n", | |
| " <td>31.3248</td>\n", | |
| " <td>-89.6546</td>\n", | |
| " <td>25.00M</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>50</td>\n", | |
| " <td>0</td>\n", | |
| " <td>This tornado first touched down just east of t...</td>\n", | |
| " <td>12</td>\n", | |
| " <td>25000000.0</td>\n", | |
| " <td>POINT (-89.83310 31.22730)</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>510331</td>\n", | |
| " <td>KANSAS</td>\n", | |
| " <td>2014</td>\n", | |
| " <td>June</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF3</td>\n", | |
| " <td>03-JUN-14 21:30:00</td>\n", | |
| " <td>03-JUN-14 21:43:00</td>\n", | |
| " <td>39.9700</td>\n", | |
| " <td>-96.0455</td>\n", | |
| " <td>39.9274</td>\n", | |
| " <td>-95.9397</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>2</td>\n", | |
| " <td>0</td>\n", | |
| " <td>A tornado touched down around the intersection...</td>\n", | |
| " <td>06</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>POINT (-96.04550 39.97000)</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>552705</td>\n", | |
| " <td>MISSISSIPPI</td>\n", | |
| " <td>2014</td>\n", | |
| " <td>December</td>\n", | |
| " <td>Tornado</td>\n", | |
| " <td>EF2</td>\n", | |
| " <td>23-DEC-14 15:22:00</td>\n", | |
| " <td>23-DEC-14 15:27:00</td>\n", | |
| " <td>31.6986</td>\n", | |
| " <td>-89.2239</td>\n", | |
| " <td>31.7595</td>\n", | |
| " <td>-89.1538</td>\n", | |
| " <td>2.20M</td>\n", | |
| " <td>0.00K</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>This tornado started along Maxey Rd and tracke...</td>\n", | |
| " <td>12</td>\n", | |
| " <td>2200000.0</td>\n", | |
| " <td>POINT (-89.22390 31.69860)</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " EVENT_ID STATE YEAR MONTH_NAME EVENT_TYPE TOR_F_SCALE \\\n", | |
| "0 543875 NORTH CAROLINA 2014 September Tornado EF2 \n", | |
| "1 526506 TENNESSEE 2014 July Tornado EF3 \n", | |
| "2 552175 MISSISSIPPI 2014 December Tornado EF3 \n", | |
| "3 510331 KANSAS 2014 June Tornado EF3 \n", | |
| "4 552705 MISSISSIPPI 2014 December Tornado EF2 \n", | |
| "\n", | |
| " BEGIN_DATE_TIME END_DATE_TIME BEGIN_LAT BEGIN_LON END_LAT \\\n", | |
| "0 08-SEP-14 15:45:00 08-SEP-14 15:46:00 34.8280 -77.9020 34.8300 \n", | |
| "1 27-JUL-14 16:59:00 27-JUL-14 17:02:00 36.4495 -83.9318 36.4368 \n", | |
| "2 23-DEC-14 14:20:00 23-DEC-14 14:36:00 31.2273 -89.8331 31.3248 \n", | |
| "3 03-JUN-14 21:30:00 03-JUN-14 21:43:00 39.9700 -96.0455 39.9274 \n", | |
| "4 23-DEC-14 15:22:00 23-DEC-14 15:27:00 31.6986 -89.2239 31.7595 \n", | |
| "\n", | |
| " END_LON DAMAGE_PROPERTY DAMAGE_CROPS INJURIES_DIRECT INJURIES_INDIRECT \\\n", | |
| "0 -77.9010 200.00K 0.00K 1 0 \n", | |
| "1 -83.9034 NaN NaN 0 0 \n", | |
| "2 -89.6546 25.00M 0.00K 50 0 \n", | |
| "3 -95.9397 NaN NaN 2 0 \n", | |
| "4 -89.1538 2.20M 0.00K 0 0 \n", | |
| "\n", | |
| " EVENT_NARRATIVE MM \\\n", | |
| "0 A short lived EF2 tornado with winds estimated... 09 \n", | |
| "1 An EF3 tornado with estimated winds between 14... 07 \n", | |
| "2 This tornado first touched down just east of t... 12 \n", | |
| "3 A tornado touched down around the intersection... 06 \n", | |
| "4 This tornado started along Maxey Rd and tracke... 12 \n", | |
| "\n", | |
| " DAMAGE_PROPERTY_NUMERIC geometry \n", | |
| "0 200000.0 POINT (-77.90200 34.82800) \n", | |
| "1 0.0 POINT (-83.93180 36.44950) \n", | |
| "2 25000000.0 POINT (-89.83310 31.22730) \n", | |
| "3 0.0 POINT (-96.04550 39.97000) \n", | |
| "4 2200000.0 POINT (-89.22390 31.69860) " | |
| ] | |
| }, | |
| "execution_count": 20, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "# Create a GeoDataFrame from dfevents.\n", | |
| "gdfevents = gpd.GeoDataFrame(\n", | |
| " dfevents, \n", | |
| " geometry=gpd.points_from_xy(dfevents.BEGIN_LON, dfevents.BEGIN_LAT), \n", | |
| " crs=\"EPSG:4326\"\n", | |
| ")\n", | |
| "\n", | |
| "print(f\"gdfevents.shape: {gdfevents.shape}\")\n", | |
| "\n", | |
| "gdfevents.head(5)\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "We create a scatterplot of tornado events from `gdfevents` overlaid with U.S. state boundaries. Each tornado event is represented as a cross, with a different color for each EF class.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 21, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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", | |
| "text/plain": [ | |
| "<Figure size 900x650 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "fig, ax = plt.subplots(1, 1, figsize=(9, 6.5), tight_layout=True)\n", | |
| "ax.set_title(\"U.S. Tornadoes 2014-2024\", fontsize=10, weight=\"bold\")\n", | |
| "gdfus.boundary.plot(ax=ax, edgecolor=\"grey\", linewidth=.35)\n", | |
| "#gdfevents.plot(ax=ax, color=\"blue\", marker=\"x\", markersize=10, alpha=.50)\n", | |
| "gdfevents.plot(\n", | |
| " ax=ax,\n", | |
| " column=\"TOR_F_SCALE\", # Column to use for coloring\n", | |
| " cmap=\"brg\",\n", | |
| " marker=\"x\",\n", | |
| " markersize=25,\n", | |
| " alpha=.50,\n", | |
| " legend=True, \n", | |
| " legend_kwds={\"title\": \"EF Scale\"} # Customize legend title\n", | |
| ")\n", | |
| "\n", | |
| "ax.axis(\"off\")\n", | |
| "plt.show()\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "We used the \"brg\" colormap for this plot. Other colormap options can be found [here](https://matplotlib.org/stable/users/explain/colors/colormaps.html).\n", | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "Now imagine you're interested in determining the number of tornadoes by state, but didn't have a STATE column in `gdfevents` (you will encounter a scenario like this for the end of workshop mini-project). Each tornado event in `gdfevents` can be projected into a state using a [spatial join](https://geopandas.org/en/stable/gallery/spatial_joins.html).\n", | |
| "\n", | |
| "A *spatial join* is an operation that combines two geospatial datasets based on their spatial relationships. It assigns attributes from one dataset to the other based on their spatial proximity or containment. We will perform a point-in-polygon spatial join, where points (tornado events) are assigned to polygons (states) based on which state polygon encloses the event's point.\n", | |
| "\n", | |
| "**To summarize:**\n", | |
| "\n", | |
| "- `gdfus` contains a geometry column where each entry is a polygon or multi-polygon, essentially a list of lon-lat pairs that defines the boundary of each state in the continental U.S.\n", | |
| "- `gdfevents` contains point geometry for each tornado event, where each point represents the lon-lat where the tornado started. \n", | |
| "- The spatial join projects each point from `gdfevents` into the state polygon or multi-polygon that encloses it. \n", | |
| "- [Information on binary predicates](https://shapely.readthedocs.io/en/latest/manual.html#binary-predicates)\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 22, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "gdf.shape: (1560, 14).\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>EVENT_ID</th>\n", | |
| " <th>TOR_F_SCALE</th>\n", | |
| " <th>DAMAGE_PROPERTY_NUMERIC</th>\n", | |
| " <th>geometry</th>\n", | |
| " <th>index_right</th>\n", | |
| " <th>STATEFP</th>\n", | |
| " <th>STATENS</th>\n", | |
| " <th>AFFGEOID</th>\n", | |
| " <th>GEOID</th>\n", | |
| " <th>STUSPS</th>\n", | |
| " <th>NAME</th>\n", | |
| " <th>LSAD</th>\n", | |
| " <th>ALAND</th>\n", | |
| " <th>AWATER</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>543875</td>\n", | |
| " <td>EF2</td>\n", | |
| " <td>200000.0</td>\n", | |
| " <td>POINT (-77.90200 34.82800)</td>\n", | |
| " <td>1</td>\n", | |
| " <td>37</td>\n", | |
| " <td>01027616</td>\n", | |
| " <td>0400000US37</td>\n", | |
| " <td>37</td>\n", | |
| " <td>NC</td>\n", | |
| " <td>North Carolina</td>\n", | |
| " <td>00</td>\n", | |
| " <td>125923656064</td>\n", | |
| " <td>13466071395</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>526506</td>\n", | |
| " <td>EF3</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>POINT (-83.93180 36.44950)</td>\n", | |
| " <td>23</td>\n", | |
| " <td>47</td>\n", | |
| " <td>01325873</td>\n", | |
| " <td>0400000US47</td>\n", | |
| " <td>47</td>\n", | |
| " <td>TN</td>\n", | |
| " <td>Tennessee</td>\n", | |
| " <td>00</td>\n", | |
| " <td>106802728188</td>\n", | |
| " <td>2350123465</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>552175</td>\n", | |
| " <td>EF3</td>\n", | |
| " <td>25000000.0</td>\n", | |
| " <td>POINT (-89.83310 31.22730)</td>\n", | |
| " <td>0</td>\n", | |
| " <td>28</td>\n", | |
| " <td>01779790</td>\n", | |
| " <td>0400000US28</td>\n", | |
| " <td>28</td>\n", | |
| " <td>MS</td>\n", | |
| " <td>Mississippi</td>\n", | |
| " <td>00</td>\n", | |
| " <td>121533519481</td>\n", | |
| " <td>3926919758</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>510331</td>\n", | |
| " <td>EF3</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>POINT (-96.04550 39.97000)</td>\n", | |
| " <td>26</td>\n", | |
| " <td>20</td>\n", | |
| " <td>00481813</td>\n", | |
| " <td>0400000US20</td>\n", | |
| " <td>20</td>\n", | |
| " <td>KS</td>\n", | |
| " <td>Kansas</td>\n", | |
| " <td>00</td>\n", | |
| " <td>211755344060</td>\n", | |
| " <td>1344141205</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>552705</td>\n", | |
| " <td>EF2</td>\n", | |
| " <td>2200000.0</td>\n", | |
| " <td>POINT (-89.22390 31.69860)</td>\n", | |
| " <td>0</td>\n", | |
| " <td>28</td>\n", | |
| " <td>01779790</td>\n", | |
| " <td>0400000US28</td>\n", | |
| " <td>28</td>\n", | |
| " <td>MS</td>\n", | |
| " <td>Mississippi</td>\n", | |
| " <td>00</td>\n", | |
| " <td>121533519481</td>\n", | |
| " <td>3926919758</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " EVENT_ID TOR_F_SCALE DAMAGE_PROPERTY_NUMERIC geometry \\\n", | |
| "0 543875 EF2 200000.0 POINT (-77.90200 34.82800) \n", | |
| "1 526506 EF3 0.0 POINT (-83.93180 36.44950) \n", | |
| "2 552175 EF3 25000000.0 POINT (-89.83310 31.22730) \n", | |
| "3 510331 EF3 0.0 POINT (-96.04550 39.97000) \n", | |
| "4 552705 EF2 2200000.0 POINT (-89.22390 31.69860) \n", | |
| "\n", | |
| " index_right STATEFP STATENS AFFGEOID GEOID STUSPS NAME \\\n", | |
| "0 1 37 01027616 0400000US37 37 NC North Carolina \n", | |
| "1 23 47 01325873 0400000US47 47 TN Tennessee \n", | |
| "2 0 28 01779790 0400000US28 28 MS Mississippi \n", | |
| "3 26 20 00481813 0400000US20 20 KS Kansas \n", | |
| "4 0 28 01779790 0400000US28 28 MS Mississippi \n", | |
| "\n", | |
| " LSAD ALAND AWATER \n", | |
| "0 00 125923656064 13466071395 \n", | |
| "1 00 106802728188 2350123465 \n", | |
| "2 00 121533519481 3926919758 \n", | |
| "3 00 211755344060 1344141205 \n", | |
| "4 00 121533519481 3926919758 " | |
| ] | |
| }, | |
| "execution_count": 22, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "# Columns to keep from gdfevents. Assume we do not have access to STATE in gdfevents. \n", | |
| "# To perform a spatial join, both tables must be GeoDataFrames (geometry column \n", | |
| "# needs to be present in both tables). \n", | |
| "\n", | |
| "keep_columns = [\"EVENT_ID\", \"TOR_F_SCALE\", \"DAMAGE_PROPERTY_NUMERIC\", \"geometry\"]\n", | |
| "\n", | |
| "# Perform spatial join of dfus with subset of gdfevents. The geometry column\n", | |
| "# in the resulting table is the one associated with the first table in the join. \n", | |
| "gdf = gpd.sjoin(gdfevents[keep_columns], gdfus, how=\"inner\", predicate=\"intersects\")\n", | |
| "\n", | |
| "print(f\"gdf.shape: {gdf.shape}.\")\n", | |
| "\n", | |
| "gdf.head(5)\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "The number of events in `gdf` (1560) is less than the number of events in `gdfevents` (1571). What is the cause of the discrepancy?\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 23, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Number of unique events in gdfevents: 1,571\n", | |
| "Number of unique events in gdf: 1,560\n", | |
| "Number of unique events in gdfevents not in gdf: 11\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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", | |
| "text/plain": [ | |
| "<Figure size 900x600 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "# Visualize missing events. \n", | |
| "events1 = set(gdfevents[\"EVENT_ID\"].tolist())\n", | |
| "events2 = set(gdf[\"EVENT_ID\"].tolist())\n", | |
| "diff = events1.difference(events2)\n", | |
| "\n", | |
| "print(f\"Number of unique events in gdfevents: {len(events1):,}\")\n", | |
| "print(f\"Number of unique events in gdf: {len(events2):,}\")\n", | |
| "print(f\"Number of unique events in gdfevents not in gdf: {len(diff):,}\")\n", | |
| "\n", | |
| "# Plot missing events on map of US. \n", | |
| "\n", | |
| "# dfshp = gpd.read_file(\"../datasets/cb_2018_us_state_500k.zip\").to_crs(\"EPSG:4326\")\n", | |
| "# gdfus = gdfus.cx[lon_min:lon_max, lat_min:lat_max]\n", | |
| "\n", | |
| "# Identify storms not within Iowa.\n", | |
| "gdfmiss = gdfevents[gdfevents.EVENT_ID.isin(diff)].copy()\n", | |
| "\n", | |
| "fig, ax = plt.subplots(1, 1, figsize=(9, 6), tight_layout=True)\n", | |
| "ax.set_title(\"Missing events\", fontsize=10)\n", | |
| "gdfus.boundary.plot(ax=ax, edgecolor=\"black\", linewidth=.50)\n", | |
| "gdfmiss.plot(ax=ax, color=\"red\", marker=\"x\", markersize=250, alpha=1)\n", | |
| "ax.axis(\"off\")\n", | |
| "plt.show()\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "<br>\n", | |
| "\n", | |
| "Create a count of the number of events of any type by state. After the `groupby`, the resulting table will be a regular DataFrame. To convert it back to a GeoDataFrame, we re-merge the state shapefile geometry column. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 24, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "gdfn.shape: (49, 11).\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>STATEFP</th>\n", | |
| " <th>STATENS</th>\n", | |
| " <th>AFFGEOID</th>\n", | |
| " <th>GEOID</th>\n", | |
| " <th>STUSPS</th>\n", | |
| " <th>NAME</th>\n", | |
| " <th>LSAD</th>\n", | |
| " <th>ALAND</th>\n", | |
| " <th>AWATER</th>\n", | |
| " <th>geometry</th>\n", | |
| " <th>n</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>28</td>\n", | |
| " <td>01779790</td>\n", | |
| " <td>0400000US28</td>\n", | |
| " <td>28</td>\n", | |
| " <td>MS</td>\n", | |
| " <td>Mississippi</td>\n", | |
| " <td>00</td>\n", | |
| " <td>121533519481</td>\n", | |
| " <td>3926919758</td>\n", | |
| " <td>MULTIPOLYGON (((-88.50297 30.21523, -88.49176 ...</td>\n", | |
| " <td>142.0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>37</td>\n", | |
| " <td>01027616</td>\n", | |
| " <td>0400000US37</td>\n", | |
| " <td>37</td>\n", | |
| " <td>NC</td>\n", | |
| " <td>North Carolina</td>\n", | |
| " <td>00</td>\n", | |
| " <td>125923656064</td>\n", | |
| " <td>13466071395</td>\n", | |
| " <td>MULTIPOLYGON (((-75.72681 35.93584, -75.71827 ...</td>\n", | |
| " <td>30.0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>40</td>\n", | |
| " <td>01102857</td>\n", | |
| " <td>0400000US40</td>\n", | |
| " <td>40</td>\n", | |
| " <td>OK</td>\n", | |
| " <td>Oklahoma</td>\n", | |
| " <td>00</td>\n", | |
| " <td>177662925723</td>\n", | |
| " <td>3374587997</td>\n", | |
| " <td>POLYGON ((-103.00257 36.52659, -103.00219 36.6...</td>\n", | |
| " <td>81.0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>51</td>\n", | |
| " <td>01779803</td>\n", | |
| " <td>0400000US51</td>\n", | |
| " <td>51</td>\n", | |
| " <td>VA</td>\n", | |
| " <td>Virginia</td>\n", | |
| " <td>00</td>\n", | |
| " <td>102257717110</td>\n", | |
| " <td>8528531774</td>\n", | |
| " <td>MULTIPOLYGON (((-75.74241 37.80835, -75.74151 ...</td>\n", | |
| " <td>19.0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>54</td>\n", | |
| " <td>01779805</td>\n", | |
| " <td>0400000US54</td>\n", | |
| " <td>54</td>\n", | |
| " <td>WV</td>\n", | |
| " <td>West Virginia</td>\n", | |
| " <td>00</td>\n", | |
| " <td>62266474513</td>\n", | |
| " <td>489028543</td>\n", | |
| " <td>POLYGON ((-82.64320 38.16909, -82.64300 38.169...</td>\n", | |
| " <td>2.0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5</th>\n", | |
| " <td>22</td>\n", | |
| " <td>01629543</td>\n", | |
| " <td>0400000US22</td>\n", | |
| " <td>22</td>\n", | |
| " <td>LA</td>\n", | |
| " <td>Louisiana</td>\n", | |
| " <td>00</td>\n", | |
| " <td>111897594374</td>\n", | |
| " <td>23753621895</td>\n", | |
| " <td>MULTIPOLYGON (((-88.86770 29.86155, -88.86566 ...</td>\n", | |
| " <td>86.0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>6</th>\n", | |
| " <td>26</td>\n", | |
| " <td>01779789</td>\n", | |
| " <td>0400000US26</td>\n", | |
| " <td>26</td>\n", | |
| " <td>MI</td>\n", | |
| " <td>Michigan</td>\n", | |
| " <td>00</td>\n", | |
| " <td>146600952990</td>\n", | |
| " <td>103885855702</td>\n", | |
| " <td>MULTIPOLYGON (((-83.19159 42.03537, -83.18993 ...</td>\n", | |
| " <td>6.0</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " STATEFP STATENS AFFGEOID GEOID STUSPS NAME LSAD \\\n", | |
| "0 28 01779790 0400000US28 28 MS Mississippi 00 \n", | |
| "1 37 01027616 0400000US37 37 NC North Carolina 00 \n", | |
| "2 40 01102857 0400000US40 40 OK Oklahoma 00 \n", | |
| "3 51 01779803 0400000US51 51 VA Virginia 00 \n", | |
| "4 54 01779805 0400000US54 54 WV West Virginia 00 \n", | |
| "5 22 01629543 0400000US22 22 LA Louisiana 00 \n", | |
| "6 26 01779789 0400000US26 26 MI Michigan 00 \n", | |
| "\n", | |
| " ALAND AWATER \\\n", | |
| "0 121533519481 3926919758 \n", | |
| "1 125923656064 13466071395 \n", | |
| "2 177662925723 3374587997 \n", | |
| "3 102257717110 8528531774 \n", | |
| "4 62266474513 489028543 \n", | |
| "5 111897594374 23753621895 \n", | |
| "6 146600952990 103885855702 \n", | |
| "\n", | |
| " geometry n \n", | |
| "0 MULTIPOLYGON (((-88.50297 30.21523, -88.49176 ... 142.0 \n", | |
| "1 MULTIPOLYGON (((-75.72681 35.93584, -75.71827 ... 30.0 \n", | |
| "2 POLYGON ((-103.00257 36.52659, -103.00219 36.6... 81.0 \n", | |
| "3 MULTIPOLYGON (((-75.74241 37.80835, -75.74151 ... 19.0 \n", | |
| "4 POLYGON ((-82.64320 38.16909, -82.64300 38.169... 2.0 \n", | |
| "5 MULTIPOLYGON (((-88.86770 29.86155, -88.86566 ... 86.0 \n", | |
| "6 MULTIPOLYGON (((-83.19159 42.03537, -83.18993 ... 6.0 " | |
| ] | |
| }, | |
| "execution_count": 24, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "# Aggregate tornadoes by NAME. \n", | |
| "\n", | |
| "# Aggregate counts by STUSPS. \n", | |
| "dfn = gdf.groupby(\"STUSPS\", as_index=False).size().rename(columns={\"size\": \"n\"})\n", | |
| "\n", | |
| "# Merge dfn with gdfus to get geometry for each state.\n", | |
| "gdfn = gdfus.merge(dfn, on=\"STUSPS\", how=\"left\")\n", | |
| "\n", | |
| "print(f\"gdfn.shape: {gdfn.shape}.\")\n", | |
| "\n", | |
| "gdfn.head(7)\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "A [choropleth map](https://en.wikipedia.org/wiki/Choropleth_map) is a thematic map in which geographic regions are shaded or colored based on the value of a specific variable. The color intensity typically increases with the magnitude of the variable, allowing viewers to quickly identify spatial patterns and differences across areas. Using `dfn`'s `.plot()` method, create a choropleth map using column \"n\", which represents the number of tornadoes in each state. \n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 25, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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", | |
| "text/plain": [ | |
| "<Figure size 900x650 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "# Experiment with different colormaps.\n", | |
| "cmap = \"viridis\"\n", | |
| "\n", | |
| "fig, ax = plt.subplots(1, 1, figsize=(9, 6.5), tight_layout=True)\n", | |
| "ax.set_title(\"U.S. Tornadoes (EF2, EF3, EF4): 2014-2024\", fontsize=10, weight=\"bold\")\n", | |
| "\n", | |
| "gdfn.plot(\n", | |
| " ax=ax, column=\"n\", edgecolor=\"grey\", linewidth=.50, cmap=cmap, alpha=1, legend=True,\n", | |
| " legend_kwds={\"label\": \"tornadoes\", \"orientation\": \"vertical\", \"shrink\": .35}\n", | |
| ")\n", | |
| "\n", | |
| "ax.axis(\"off\")\n", | |
| "plt.show()\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "<br>\n", | |
| "\n", | |
| "To fill in the missing states, we can include the original `gdfus` shapefile as an additional layer:\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 26, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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