Simulation of Dynamic Urban Growth with Partial Least Squares Regression-Based Cellular Automata in a GIS Environment

Simulation of Dynamic Urban Growth with Partial Least Squares Regression-Based Cellular Automata in a GIS Environment

We developed a geographic cellular automata (CA) model based on partial least squares (PLS) regression (termed PLS-CA) to simulate dynamic urban growth in a geographical information systems (GIS) environment. The PLS method extends multiple linear regression models that are used to define the unique...

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Bibliographic Details
Main Authors: Yongjiu Feng, Miaolong Liu, Lijun Chen, Yu Liu
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:ISPRS International Journal of Geo-Information
Subjects:
urban growth
dynamic simulation
cellular automata
partial least squares (PLS) regression
geographical information systems (GIS)
accuracy analysis
Online Access:http://www.mdpi.com/2220-9964/5/12/243

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