Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling

[1 ] Department of Geosciences, Environment & Society, Université Libre De Bruxelles (ULB), Bruxelles, Belgium;

[2 ] Institute of Life, Earth and Environment, University of Namur, Namur, Belgium;

[3 ] Department of Geography, Harokopio University, Kallithea, Greece