SPATIALLY AWARE LANDSLIDE SUSCEPTIBILITY PREDICTION USING A GEOGRAPHICAL RANDOM FOREST APPROACH
Landslide susceptibility prediction practices have been increasingly reliant on non-geographically-oriented (i.e., aspatial) machine learning algorithms.While these approaches have exhibited increasing success, they have often faced criticism for their limited consideration of spatial autocorrelations Natural Gas Conversion Kit and local variations