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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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer
2025-02-01
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| Серии: | Computational Urban Science |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/s43762-025-00169-x |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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