Multi-Scenario Prediction of Intra-Urban Land Use Change Using a Cellular Automata-Random Forest Model

Multi-Scenario Prediction of Intra-Urban Land Use Change Using a Cellular Automata-Random Forest Model

The simulation of future land use can provide decision support for urban planners and decision makers, which is important for sustainable urban development. Using a cellular automata-random forest model, we considered two scenarios to predict intra-land use changes in Kumamoto City from 2018 to 2030...

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Bibliographic Details
Main Authors: Hang Liu, Riken Homma, Qiang Liu, Congying Fang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
intra-urban land use change
cellular automata
random forest
multi-scenario
Kumamoto Compact City
disaster-related factors
Online Access:https://www.mdpi.com/2220-9964/10/8/503

Internet

https://www.mdpi.com/2220-9964/10/8/503

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