KIHARA, Hideto deton

Get AIS PositionReport data from aisstream.io and convert to TimestampedGeoJson for TripsLayer

Get AIS PositionReport data from aisstream.io

node aisposrep.js >ais.csv

Convert to TimestampedGeoJson

python3 aiscsv2timestampedGeoJson.py ais.csv -o zzAisTimestamped.geojson

駅の近くにある駐車場を抽出

駅のPolygonは、国土数値情報鉄道データを利用。
駐車場のPoint(緯度経度)は、特Pの駐車場検索JSONレスポンスをCSVに変換したものを使用。

uv run python withinbbox.py 134.963436,34.623885,135.170288,34.738791 N02-24_Station.shp
uv run python near.py N02-24_Station.134.963436,34.623885,135.170288,34.738791.geojson parkings.csv

	pkgname=screen
	pkgver=4.9.1
	pkgrel=1
	pkgdesc='A terminal multiplexer'
	url='https://www.gnu.org/software/screen/'
	msys2_repository_url="http://ftp.gnu.org/gnu/screen/"
	msys2_references=(
	"cpe: cpe:/a:gnu:screen"
	)
	arch=('i686' 'x86_64')

	_realname=lynx
	pkgname=lynx-ja
	pkgver=2.9.3
	_relver=${pkgver}
	pkgrel=1
	pkgdesc="A text browser for the World Wide Web (for Japanese)"
	url="https://lynx.invisible-island.net/"
	msys2_repository_url='https://github.com/ThomasDickey/lynx-snapshots'
	msys2_pgp_keys_url="https://invisible-island.net/public/public.html"
	msys2_references=(

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<title>form for make_gtfs</title>
	<!-- based on https://formio.github.io/formio.js/app/builder.html -->
	<!--<link href="https://cdn.jsdelivr.net/npm/bootstrap-icons/font/bootstrap-icons.css" rel="stylesheet">-->
	<link href="https://cdn.jsdelivr.net/npm/bootstrap@4.6.0/dist/css/bootstrap.min.css" rel="stylesheet">
	<!--<script src="https://cdn.jsdelivr.net/npm/bootstrap@4.6.0/dist/js/bootstrap.min.js"></script>-->

	#!/bin/sh
	# Prepare:
	# download csv files from https://www.stat.go.jp/data/mesh/m_itiran.html
	# and convert to utf-8

	head -1 utf8/01.csv >citycode-mesh1code.csv

	for f in utf8/*.csv
	do
	cat "$f" \| awk 'BEGIN{FS=",";OFS=","}NR>1{print $1,$2,substr($3,0,4),$4}' \| uniq >>citycode-mesh1code.csv

	# Count trip entries into a polygon in 10-minute bins.
	# (Generated using GitHub Copilot)
	import argparse
	import json
	from datetime import datetime
	from shapely.geometry import shape, Point, LineString
	import pandas as pd
	from typing import NamedTuple, List
	from geopy.distance import geodesic

	# snap points to nearest OSMnx edges.
	import argparse
	import os
	import geopandas as gpd
	import osmnx as ox
	import pandas as pd

	parser = argparse.ArgumentParser()
	parser.add_argument("point_file", help="point list csv file")
	parser.add_argument("-x", "--longitude", help="column name for longitude", default="longitude")

	import marimo

	__generated_with = "0.16.5"
	app = marimo.App(width="full")


	@app.cell
	def _(mo):
	mo.md(
	r"""