Modeling land use change using knowledge discovery and cellular automata in a GIS environment
We develop a parcel-based spatial land use change prediction model by coupling machine learning and interpretation algorithms such as cellular automata and decision tree in a Geographic Information System environment. We collect and process historical land use data and various driving factors that a...
| Publicado no: | Philippine Engineering Journal 29, 2(3 copies) (2008(D)). |
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| Formato: | Artigo |
| Idioma: | English |
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| Acesso em linha: | Also available online for University of the Philippines Diliman. Click here |