This online course will give you a complete introduction to processing, analyzing & mapping geospatial data in R.
Course completion certificate
Downloadable PDF version of course
Step-by-step demos using sample data
100+ useful R code snippets
50+ sample maps
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This text- and code-based course is self-paced. Come and go as you like, for as long as you like, and learn whenever fits your busy schedule.
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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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