Calibrating a cellular automata model for understanding rural-urban land conversion: a Pareto front-based multi-objective optimization approach

• Main Authors: CAO, Kai, HUANG, Bo, LI, Manchun, LI, Wenwen
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: NSGA-II; land conversion; rural–urban; cellular automata; calibration; Logit regression; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/5405; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6408&context=sis_research
• Institution: Singapore Management University

Cellular automata (CA) modeling is useful to assist in understanding rural–urban land conversion processes. Although CA calibration is essential to ensuring an accurate modeling outcome, it remains a significant challenge. This study aims to address that challenge by developing and evaluating a mult...