Introduction to Mapping and Spatial Analysis with R

May 22, 2017
Branner Earth Sciences Library - Teaching Corner
Mitchell Earth Sciences Building

Goal of this workshop is to provide an introduction to R as tool to visualize and analyze spatial data. You will learn about the structure and characteristics of the sp and the sf spatial objects in R, you will explore some spatial operations, and you will get an overview of how you can plot and map spatial data interactively from R.

This workshop requires a basic familiarity with R. If you don’t know R at all, please take the Introductory R workshop (offered Friday, May 19, 2017)

Upcoming spatial workshop (please sign up here):

May 22, 2017, 2-4pm:

• Spatial data types in R (requires introductory knowledge about R)
• Spatial operations in R (requires knowledge about R spatial data types)
• Making maps in R (requires knowledge about R spatial data types)

Please bring your own laptop.

Books

• Roger Bivand et al.: Applied Spatial Data Analysis with R (2nd ed. 2013)
• Chris Brunsdon & Lex Comber: An Introduction to R for Spatial Analysis and Mapping (2015)

Online resources

• Introduction to visualising spatial data in R (by Robin Lovelace & James Cheshire)
• An Introduction to Mapping and Spatial Modelling R (by Richard Harris)
• DataCamp: Working with Geospatial Data in R (by Charlotte Wickham)
• CRAN Task View: Analysis of Spatial Data
• Software for Spatial Statistics (Journal of Statistical Software 63, Feb 2015)
• Spatial and space-time data with R
• Stackoverflow
• My unedited R bookmarks
• Spatial data in R: Using R as a GIS
• r-spatial

A word about R notebooks

• Workshop materials are provided as R notebooks.
• You can download the .Rmd file that generates the notebook using the dropdown (top right).
• Here is what you can do with it:
  • Install version 1.0 or higher of RStudio,
  • Open the notebook file.
  • Execute the R code directly in the notebook using the little green arrow on top of each R code chunk.