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

Show all versions (2)

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...

תיאור מלא

מידע ביבליוגרפי
הוצא לאור ב:Philippine Engineering Journal 29, 2(3 copies) (2008(D)).
מחבר ראשי: Ballesteros, Florencio Jr
מחברים אחרים: Qui, Zeyuan
פורמט: Article
שפה:English
נושאים:
Land use change.
Cellular automata.
Decision tree.
Parcel.
Geographic information system.
J48 Classifier.
Agent Analyst.
Hunterdon County.
גישה מקוונת:Also available online for University of the Philippines Diliman. Click here