https://github.com/jawsthegame/phillywaste

Analysis of waste bin placement in Philadelphia
https://github.com/jawsthegame/phillywaste

civic-hacking d3js leafletjs voronoi

Last synced: 27 days ago
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Analysis of waste bin placement in Philadelphia

• Host: GitHub
• URL: https://github.com/jawsthegame/phillywaste
• Owner: jawsthegame
• Created: 2018-04-09T02:08:54.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-04-09T03:45:59.000Z (almost 7 years ago)
• Last Synced: 2024-11-07T19:53:32.240Z (3 months ago)
• Topics: civic-hacking, d3js, leafletjs, voronoi
• Language: JavaScript
• Homepage: http://phillywaste.tomfleischer.com
• Size: 6.84 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Philly Waste Bins

Philadelphia has two types of municpal waste bins: traditional wire bins and 

Big Belly solar compactors. Thanks to [OpenDataPhilly](https://www.opendataphilly.org/),

the locations of these bins are publicly available.

The goal of this experiment is to show which areas of the cities are underserved by

municipal trash bins. To accomplish this, I have plotted a Voronoi Diagram using d3.

This diagram shows a polygon for each waste bin that represents everywhere where

that bin is the closest bin.

This experiment presupposes that the smaller the area

of the polygon, the "better served" that area is. More specifically, the smaller the

polygon, the less one would have to walk to get to the nearest trash bin. As such,

each polygon is shaded according to its area, with blue being the smallest and red

being the largest.

![map](http://phillywaste.tomfleischer.com/screenshot.png)

A live version of this map can be found [here](http://phillywaste.tomfleischer.com)

(also [with borders](http://phillywaste.tomfleischer.com/borders.html) and [with

unfilled polygons](http://phillywaste.tomfleischer.com/unfilled.html)).

## Problems

* Privately owned bins such as those on college campuses, are not included. (you'll

  notice the glaring "red" area in University City)

## Libraries Used:

* [Leaflet](http://leafletjs.com/)

* [D3.js](https://d3js.org/)

Also a special thanks to Chris Zetter for [this blog article](https://chriszetter.com/blog/2014/06/15/building-a-voronoi-map-with-d3-and-leaflet/).