Tuning spatial parameters of Geographical Random Forest: the case of agricultural drought
Machine learning algorithms are widely used methods in geographical research. However, these algorithms are not properly exploiting the underlying spatial relationships present in the geographical data. One of the approaches, which addresses this problem, is based on an ensemble of local models, whi...
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| Format: | Article |
| Language: | English |
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Karolinum Press
2023-11-01
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| Series: | Acta Universitatis Carolinae Geographica |
| Online Access: | http://www.karolinum.cz/doi/10.14712/23361980.2023.14 |