Bottom-attached seagrasses play an important role in combating global warming, storing up to 100 times more carbon-dioxide compared to tropical forests. Quantifying seagrass abundance is important to monitoring and preserving this important resource. Marjean Pobuda from Esri’s Spatial Statistics Team explores using the R-ArcGIS Bridge to build a predictive model of seagrass abundance. The R-ArcGIS Bridge helps you expand your ArcGIS workflows to include R and expand your R analysis to include rich geospatial analysis.