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first published week of:   12/21/2015

GIS in R
by nick eubank

nickeubank.com

R has a full library of tools for working with spatial data. This includes tools for both vector and raster data, as well as interfacing with data from other sources (like ArcGIS) and making maps.

These tutorials — which build off Claudia Engel’s excellent GIS in R tutorials — are designed for users with some familiarity with R, but require no knowledge of spatial analysis. If you aren’t used to working with R, you will probably want to spend some little time familiarizing yourself with the language before starting this series. (Here’s a good set of R tutorials if you need them)

Each tutorial is divided into several parts (to be done in sequence), and include a zipped folder of data for exercises.  In addition, cheatsheets are provided which may be of help in remembering the various commands you will frequently use. Each tutorial is meant to take ~1.5 hours, not including software installation.

These tutorials have a share-and-share-alike Creative Commons license, so please feel free to use and modify as you see fit. You can find rmarkdown source files on github here.

Command Cheatsheets:

Learning GIS in R involves learning both concepts and vocabulary. Here are some cheatsheets to help with the later.

• Vector Data Cheatsheet
• Raster Data Cheatsheet
• Third-party (but great) cheatsheet

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