Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

readme.MD

Visualizing the drought in Connecticut and the United States

This repository contains source shapefiles and visualization scripts for the Trend CT story:

Walkthroughs

  • Visualizing the drought in Connecticut and the United States - [HTML] [RMarkdown]

The Data

The data used in this analysis is from Drought Monitor via partnership between the National Drought Mitigation Center at the University of Nebraska-Lincoln, the United States Department of Agriculture, and the National Oceanic and Atmospheric Administration.

What's in this repo

  • ct_maps folder - Folder with programatically generated maps of the drought in Connecticut.
  • ct_maps_gif folder - Folder with programatically generated maps of the drought in Connecticut (with additional titles, subtitles, and legend) to be used to create a GIF with.
  • us_maps folder - Folder with programatically generated maps of the drought in the United States.
  • us_maps_gif folder - Folder with programatically generated maps of the drought in the United States (with additional titles, subtitles, and legend) to be used to create a GIF with.
  • shapes folder - Folders of 2016 weekly shapefiles from the Drought Monitor's GIS Data Archive
  • us_shape folder - Base shapefile of the United States borders to layer on the drought shapefiles.
  • maps_maker.R - Script to programatically generate .PNGs of the maps for each shapefile available. For production on TrendCT.org and for GIF creation.
  • gif_maker.R - Script to programatically generate CT and US specific GIFs using the generated .PNG files.
  • ct_map.gif - GIF of the drought in Connecticut
  • us_map.gif - GIF of the drought in the United States

Philosophy

We believe in open data. Our scripts may be too technical for the average reader, but we make it accessible because we believe it is important to be as transparent as possible about our methodology so our work can be checked or expanded upon. Read more.

Check out the reproducible scripts and data behind many of our other stories in our central repo

Follow us out on Twitter @TrendCT and on Facebook/TrendCT.

Usage

If you use our data or methodology, please give us a shout out in your story. It'd also be nice if you gave me a heads up: @abtran or abtran@trendct.org. 0

You can’t perform that action at this time.