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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Dettagli Bibliografici
Pubblicato in:Philippine Engineering Journal 29, 2(3 copies) (2008(D)).
Autore principale: Ballesteros, Florencio Jr
Altri autori: Qui, Zeyuan
Natura: Articolo
Lingua:English
Soggetti:
Land use change.
Cellular automata.
Decision tree.
Parcel.
Geographic information system.
J48 Classifier.
Agent Analyst.
Hunterdon County.
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