Urban land use function prediction method based on RF and cellular automaton model
Abstract To accurately grasp the dynamic changes of urban land use and solve the difficulties and challenges in predicting urban land use functions at present, this study integrates interest point data and open street map data through kernel density estimation technology. Moreover, the study also in...
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| Main Authors: | Wenjun Song, Min Ling |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-02-01
|
| Series: | Computational Urban Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43762-025-00169-x |
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