Introduction to Geospatial Analysis in R

This workshop will introduce you to functions and methods of geospatial analysis. In this two session workshop you will first learn about descriptive statistics on geospatial data sets. We will then continue exploring point pattern analysis, cluster analysis and some interpolation methods (Thiessen polygons, inverse distance weighting and kriging) as well as looking into geographically weighted regression.

At the end of this workshop you will be able to

• conduct descriptive statistics on sf, sp, raster and ppp objects
• analyze point patterns
• understand spatial weights and apply them in a cluster analysis
• apply different interpolation methods

Pre-requisites: “Introduction to Data Science with R”, McGill’s R Summer Camp or equivalent.

This workshop will be hosted in person in BH511 and takes about 2.5 to 3 hours. Registration is open until the day before the workshop starts. The instructor will be Tim Elrick.