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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Τόπος έκδοσης:	Philippine Engineering Journal 29, 2(3 copies) (2008(D)).
Κύριος συγγραφέας:	Ballesteros, Florencio Jr
Άλλοι συγγραφείς:	Qui, Zeyuan
Μορφή:	Άρθρο
Γλώσσα:	English
Θέματα:	Land use change. Cellular automata. Decision tree. Parcel. Geographic information system. J48 Classifier. Agent Analyst. Hunterdon County.
Διαθέσιμο Online:	Also available online for University of the Philippines Diliman. Click here