| # add this to your .bash_profile to use it | |
| # source: https://gist.github.com/noahlt/2662634 | |
| function killport { | |
| if [ ! -n "$1" ] || [ $1 == '--help' ] || [ $1 == '-h' ] | |
| then | |
| echo '`killport <PORT>` finds the process listening to the specified port and kills it.' | |
| else | |
| process_line=`sudo lsof -i :$1 | tail -1` | |
| if [ "$process_line" == "" ] | |
| then |
| license: gpl-3.0 |
| """ | |
| _jaccard.py : Jaccard metric for comparing set similarity. | |
| """ | |
| import numpy as np | |
| def jaccard(im1, im2): | |
| """ |
| -- Census tract population is column dp0010001 | |
| WITH op AS | |
| (SELECT the_geom, | |
| cartodb_id, | |
| dp0010001, | |
| Row_number() OVER ( | |
| ORDER BY Cdb_latlng(/* Starting latitude */, /* Starting longitude */) <-> the_geom) AS row_number | |
| FROM /* Table name */ LIMIT /* Max census tracts queryable */), | |
| sm AS |
| # This is a shell function to quickly grab the data for a given Landsat 8 tile ID from Google's servers | |
| # For example: | |
| # l8get LC81690352014169LGN00 | |
| # The echo at the end is to remind myself of the syntax for extracting bands 8, 4, 3, and 2. (Pansharp, Red, Green, Blue) | |
| # On OSX this would go into your ~/.bash_profile file. | |
| # Requires gsutil from https://developers.google.com/storage/docs/gsutil_install | |
| # Most useful in conjunction with USGS' Earth Explorer: http://earthexplorer.usgs.gov/ |
| #!/usr/bin/env ruby | |
| # nyt-list-scrape.rb | |
| # Dan Nguyen @dancow | |
| # Created: 2014-07-26 | |
| # Updated: 2014-07-29 | |
| # | |
| # Scrape the titles/urls of articles recommended to the user by the NYT, | |
| # and also, the most popular ones at the moment | |
| # | |
| # Requirements: Ruby 1.9.x and the Mechanize gem and a NYT digital subscriber account |
This list of resources is all about acquring and processing aerial imagery. It's generally broken up in three ways: how to go about this in Photoshop/GIMP, using command-line tools, or in GIS software, depending what's most comfortable to you. Often these tools can be used in conjunction with each other.
| FAQ: | |
| where are some fun datasets to play with? | |
| 1. CMU: | |
| http://lib.stat.cmu.edu/datasets/ | |
| 2. UCI: | |
| a) MLR@UCI (machine learning repository / machine learning archive ) |
| d3.svg.circularbrush = function() { | |
| var _extent = [0,Math.PI * 2]; | |
| var _circularbrushDispatch = d3.dispatch('brushstart', 'brushend', 'brush'); | |
| var _arc = d3.svg.arc().innerRadius(50).outerRadius(100); | |
| var _brushData = [ | |
| {startAngle: _extent[0], endAngle: _extent[1], class: "extent"}, | |
| {startAngle: _extent[0] - .2, endAngle: _extent[0], class: "resize e"}, | |
| {startAngle: _extent[1], endAngle: _extent[1] + .2, class: "resize w"} | |
| ]; | |
| var _newBrushData = []; |
