R has increasing functionality for analyzing spatial data, but so has GRASS GIS, QGIS and/or SAGA GIS. This course explains how to use GIS software from within R for statistical geocomputing. Specifically, we will execute QGIS and SAGA algorithms from within R to compute terrain attributes.
R has increasing functionality for analyzing spatial data, but so has GRASS GIS, QGIS and/or SAGA GIS. This course explains how to use GIS software from within R for statistical geocomputing.
To be able to use spatial data and make decisions based on it, we need to be able to visualize it (statically, interactively, through web etc).
Machine Learning Algorithms are increasingly interesting for analyzing spatial data, especially to derive spatial predictions / for spatial interpolation and to detect spatial patterns. Spatial aut
Several R packages exists that allows loading spatial and spatiotemporal data and which provide structures, validity control and functions.
