Introduction to GIS

Introduction to GIS

Manipulating and Mapping Geospatial Data in R

Manipulating and Mapping Geospatial Data in R

introduction to gis in r course

This online course will give you a complete introduction to extracting, processing, analyzing & mapping geospatial data in R.

  • Step-by-step demos using sample data

  • Course completion certificate

  • 100+ useful R code snippets

  • 50+ sample maps

  • 80+ links to other free resources

Thousands of people from the world's leading universities, businesses, and nonprofits have already signed up for this course.
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This course includes 6 lessons that will help you start using geospatial data in R today.


Use Cases of Geospatial Data

In this lesson, you'll learn how geospatial data is being used today across sectors to segment markets, prevent fraud, identify vulnerable populations, and more.


Manipulating Geospatial Data in R

This lesson starts with the basics of why and how to use R as a GIS. Next, you'll walk through fundamental geospatial operations using Indian economic data.


Creating Static Maps in R

This lesson introduces 3 different R packages for creating 7 types of static geospatial maps: choropleth, inset, faceted, geofaceted, cartogram, bubble and hexabin.


Creating Animated and Interactive Maps in R

This lesson walks you through 7 different R packages for building animated and interactive maps, plus an overview of how to build geospatial web applications with Shiny.


Performing Spatial Subsetting in R

Spatial subsetting helps you tap into the actual geometry of geospatial data. This lesson explains how to filter regions based on how they relate to other regions in your data (such as distance or intersections).


Exploring Raster Images in R

Raster (or satellite) data is a complex form of geospatial data. This lesson explains where to get raster images, and how to extract and process them, do basic operations and analysis, build indices on them, and more.

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More resources to help you get started with geospatial data