Implements a spatial extension of the random forest algorithm (Georganos et al. (2019) <doi:10.1080/10106049.2019.1595177>). Future updates include more local machine learning methods as well as a geographically weighted random forest.
Version: 0.1.3 (9 May 2019)
grf: This function refers to a geographical (local) version of the popular Random Forest algorithm
predict.grf: Predict Method for Geographical Random Forest
random.test.data: Random data generator
Income: Mean household income at local authorities in Greece in 2011
(2019) Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling, Geocarto International,