The open-source software environment R is gaining popularity among many scientists, including geologists, biologists, and environmental scientists. R provides an alternative to traditional GIS software with numerous packages for geospatial analysis. This webinar will begin with a brief introduction to an example geospatial dataset from the NASA Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) and an overview of common geospatial operations in R. Next, we will demonstrate how to import files into R, overlay layers, reduce spatial extent, select and reclassify values, and make a map.
Requirements: Participants should have a basic understanding of R and some exposure to geospatial data and analysis, such as in ArcGIS.
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