Modeling land use change using knowledge discovery and cellular automata in a GIS environment

Modeling land use change using knowledge discovery and cellular automata in a GIS environment

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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...

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Detalles Bibliográficos
Publicado en:Philippine Engineering Journal 29, 2(3 copies) (2008(D)).
Autor principal: Ballesteros, Florencio Jr
Otros Autores: Qui, Zeyuan
Formato: Artículo
Lenguaje:English
Materias:
Land use change.
Cellular automata.
Decision tree.
Parcel.
Geographic information system.
J48 Classifier.
Agent Analyst.
Hunterdon County.
Acceso en línea:Also available online for University of the Philippines Diliman. Click here