TY  - BOOK
AU  - Hagenauer, Julian Christian
PY  - 2022
DA  - 2022//
TI  - Challenges and prospects of spatial machine learning
PB  - Universität Rostock
CY  - Rostock
AB  - 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.<eng>
UR  - http://purl.uni-rostock.de/rosdok/id00004228
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00004228-3
UR  - https://d-nb.info/129354065X/34
UR  - https://doi.org/10.18453/rosdok_id00004228
DO  - 10.18453/rosdok_id00004228
LA  - English
N1  - vorgelegt von Julian Christian Hagenauer
ID  - 1839123516
ER  -