Modeling urban regions: Comparing random forest and support vector machines for cellular automata
Author:
Affiliation:
1. Institute of Geography Ruhr‐University Bochum Bochum Germany
2. Urban Systems LabThe New School New York NY USA
Funder
National Science Foundation
Publisher
Wiley
Subject
General Earth and Planetary Sciences
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12756
Reference70 articles.
1. Assessing the effect of temporal dynamics on urban growth simulation: Towards an asynchronous cellular automata
2. Simulating urban growth in a megalopolitan area using a patch-based cellular automata
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