Keywords: R, Carbon Monitoring System, GIS
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 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.
Hagen, S., N. Harris, S.S. Saatchi, T. Pearson, C.W. Woodall, S. Ganguly, G.M. Domke, B.H. Braswell, B.F. Walters, J.C. Jenkins, S. Brown, W.A. Salas, A. Fore, Y. Yu, R.R. Nemani, C. Ipsan, and K.R. Brown. 2016. CMS: Forest Carbon Stocks, Emissions, and Net Flux for the Conterminous US: 2005-2010. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1313
Related Learning Resources
More tutorials related to ORNL DAAC data and web services can be found on the ORNL DAAC's Learning page.