goto contents

Julian Christian Hagenauer

Challenges and prospects of spatial machine learning

Universität Rostock, 2022

Abstract: The main objective of this thesis is to improve the usefulness of spatial machine learning for the spatial sciences and to allow its unused potential to be exploited. To achieve this objective, this thesis addresses several important but distinct challenges which spatial machine learning is facing. These are the modeling of spatial autocorrelation and spatial heterogeneity, the selection of an appropriate model for a given spatial problem, and the understanding of complex spatial machine learning models.

postdoctoral thesis   free access    


OPACGVKDataCite Commons


all rights reserved

This work may only be used under the terms of the German Copyright Law (Urheberrechtsgesetz).