Geospatial data are an important component of social science and humanities data visualization and analysis. The R programming language is a great platform for exploring these data and integrating them into your research.
Geospatial Data in R Part 1: Getting started with spatial data objects
Part one of this two part workshop series will introduce basic methods and R packages for working with spatial data objects in R. Participants will learn how to import and export spatial data and store them as spatial objects. We will use the tmap and rleaflet packages to create static map images and interactive web maps. Participants will learn about different types of geospatial data, spatial overlay, and methods for creating custom map symbology based on data attributes. We will also discuss how to share interactive web maps online.
Knowledge Requirements: R experience equivalent to the D-Lab R Fundamentals workshop series is required to follow along with the tutorial.
Technology Requirements: Bring a laptop with R, RStudio and the following R packages installed: sp, rgdal, rgeos, ggplot2, ggmap, leafletR, RColorBrewer, classInt, and tmap.