During this year’s summer school in Matera 2017 Dr. Paul Harris from Rothamsted Research will give us a very interesting insight into the R GWmodel package.
Introduction to the GWmodel R package
In this presentation, geographically weighted (GW) models are introduced. GW models suit situations when data are not described well by some global model, but where there are regions where a localised calibration provides a better description. The approach uses a moving window weighting technique, where localised statistical models are found at target locations. Outputs are commonly mapped to provide a useful exploratory tool into the nature of spatial heterogeneity. GWmodel includes functions for GW summary statistics, GW principal components analysis, GW discriminant analysis and various forms of GW regression, together with useful diagnostics and tests.
Paul Harris is a Senior Research Scientist at Rothamsted Research in the UK. His research focuses on the development and application of spatial statistics to agricultural, ecological and environmental data. He previously worked at the National Centre for Geocomputation in Maynooth, Ireland, where much of the work on GW models stems from.