Simulating Urban Growth Using a Random Forest-Cellular Automata (RF-CA) Model

Simulating Urban Growth Using a Random Forest-Cellular Automata (RF-CA) Model

Sustainable urban planning and management require reliable land change models, which can be used to improve decision making. The objective of this study was to test a random forest-cellular automata (RF-CA) model, which combines random forest (RF) and cellular automata (CA) models. The Kappa simulat...

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Bibliographic Details
Main Authors: Courage Kamusoko, Jonah Gamba
Format: Article
Language:English
Published: MDPI AG 2015-04-01
Series:ISPRS International Journal of Geo-Information
Subjects:
urban growth
land change models
random forest
cellular automata
kappa simulation
Online Access:http://www.mdpi.com/2220-9964/4/2/447

Internet

http://www.mdpi.com/2220-9964/4/2/447

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