Tutorial: Introduction to Geospatial Analysis in R

Caitlin Dempsey

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If you missed the recently webinar entitled “Introduction to Geospatial Analysis in R” hosted by NASA and the Oak Ridge National Laboratory (ORNL) , you can catch the video and access the associated documents.  

Presented by Dr. Alison Boyer and Dr. Jessica Welch, both from ORNL, the webinar first introduces GIS datasets offered by ORNL’s Distributed Active Archive Center  (DAAC) which archives GIS data produced by NASA’s Terrestrial Ecology Program.  ORNL DAAC offers a web mapping interface for browsing and accessing the GIS data (https://webmap.ornl.gov/ogc).

After reviewing common geospatial operations used in R, the webinar then delves into using the Forest Carbon Stocks, Emissions, and Net Flux for CONUS dataset for the tutorial.  

The goal of the tutorial is to: “Examine carbon emissions from two disturbance types (fires and tree mortality due to insect damage) within three states: Idaho, Wyoming, and Montana.”  This involves learning how to import data into R, select the area of interest from a raster file, extract and reclassify values from raster data, merge two raster datasets, and then make a map.

The video can be accessed from the tutorial page or viewed below.  Also available is a PDF of the Presentation Slides as well as further documents from the Introduction to Geospatial Analysis in R on Github.





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Caitlin Dempsey
Caitlin Dempsey is a geographer, writer, and the founder and editor of Geography Realm. She holds bachelor's and master's degrees in Geography from the University of California, Los Angeles (UCLA), as well as a Master of Library and Information Science (MLIS) from San José State University. She has been writing about geography, maps, geographic information systems (GIS), and environmental topics for more than two decades through Geography Realm and its predecessor site, GIS Lounge. Her interests include cartography, remote sensing, environmental geography, and the relationship between people and place.