Austin Parks Acreage Data App

This is a civic app that aims to help visualize how Austin's park resources are distributed throughout the City of Austin.

###Status: under development

###Related News:

• District 4 residents want more parks, connectivity - June 3, 2015
• Council Member Houston sees disparity in treatment of parks - May 20, 2015
• District 4 community meeting on parks - April 30, 2015
• North Austin green space becomes a priority for council - March 25, 2015

See our progress: Live Demo
See our notes on Hackpad

##Credits

• Katie Yoder - GIS Data Analysis
• @mateoclarke - "Project Champion"/dev
• @fremn - dev
• @luqmaan - dev
• @mattybow - dev
• @johntryee - dev

Running Code Locally:

1. npm is required

npm is Node's package manager. You can install Node at their site or with a command like brew install node if you use Homebrew.

2. gulp is required

Before you can serve the app locally, you need to install some gulp libraries with npm:

$ npm install gulp gulp-util gulp-compass gulp-connect gulp-gh-pages --save-dev

To run the local server and see the app in your browser:

$ gulp

Gulp serves the app at http://localhost:8080.

Methodology:

1. Clean & Convert Raw Parks Acreage Data

• Recieve raw data via Councilman Casar's Director of Policy. (raw .xls file)
• Refine data by adding Lat & Long from "PARK ADDRESS SERVICE" column using Geo for Google Spreadsheets. Create "Park Type" column and merge data from 5 given sheets into one table.
• Where Geo failed to find Lat/Long from Address, use Get Lat Lon web service. 14 (out of 148) Parks Locations required this manually reference after Geo failed.
• Where still uncertain with Get Lat Lon, use Google Maps by searching "PARK NAME" field.
• Export to [GeoJSON file] (https://github.com/mateoclarke/Austin_Parks_Acreage/blob/master/data/austinParksAcreageData.geojson) via Geo tool.

2. Find & Convert Park GIS Data to GeoJSON

• Download "City of Austin Parks" GIS data from City of Austin Data Portal.(https://data.austintexas.gov/dataset/City-Of-Austin-Parks/99qw-4ixs).
• Convert Shapefile to GeoJSON using GDAL. I referenced this blog post from Ben Balter for help.

3. Add District Shapefiles from a past project

"Need Score" Methodology:

1. Percent Population Age Under 19
   • 0 points < 10%
   • 7 points > 40%
2. Health Insurance Coverage
   • 0 points > 40%
   • 7 points < 10%
3. Ratio of Housing Buildings with 2 or less units (Density)
   • 0 points > 80%
   • 7 points < 20%

Current Max Score: 21

License:

needs review