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

Stefanos Georganos, Tais Grippa, Assane Niang Gadiaga, Catherine Linard, Moritz Lennert, Sabine Vanhuysse, Nicholus Mboga, Eléonore Wolff, Stamatis Kalogirou

Research output: Contribution to journalArticlepeer-review

28 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling'. Together they form a unique fingerprint.

Earth and Planetary Sciences

Computer Science