Calibration of cellular automata models using differential evolution to simulate present and future land use-Reference-Cited by-同舟云学术

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Calibration of cellular automata models using differential evolution to simulate present and future land use

Published:2018-03-30 Issue:2 Volume:22 Page:582-601
ISSN:1361-1682
Container-title:Transactions in GIS
language:en
Short-container-title:Transactions in GIS

Author:

Feng Yongjiu¹²³^ORCID,Tong Xiaohua⁴

Affiliation:

1. College of Marine Sciences; Shanghai Ocean University; Shanghai China

2. School of Earth and Environmental Sciences; University of Queensland; Brisbane Australia

3. National Distant-water Fisheries Engineering Research Center; Shanghai Ocean University; Shanghai China

4. College of Surveying and Geo-Informatics; Tongji University; Shanghai China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/tgis.12331/fullpdf

Reference56 articles.

1. A novel approach for predicting the spatial patterns of urban expansion by combining the chi-squared automatic integration detection decision tree, Markov chain and cellular automata models in GIS;Al-Sharif;Geocarto International,2015

2. Land cover change or land-use intensification: Simulating land system change with a global-scale land change model;Asselen;Global Change Biology,2013

3. Land use changes modelling using advanced methods: Cellular automata and artificial neural networks. The spatial and explicit representation of land cover dynamics at the cross-border region scale;Basse;Applied Geography,2014

4. Modeling urban dynamics through GIS-based cellular automata;Batty;Computers, Environment & Urban Systems,1999

5. Calibrating a cellular automata model for understanding rural-urban land conversion: A Pareto front-based multi-objective optimization approach;Cao;International Journal of Geographical Information Science,2014

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4. Interaction between Development Intensity: An Evaluation of Alternative Spatial Weight Matrices;Urban Science;2023-02-09

5. State of the Art on Artificial Intelligence in Land Use Simulation;Complexity;2022-06-26

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