Integrating spatial nonstationarity into SLEUTH for urban growth modeling: A case study in the Wuhan metropolitan area-Reference-Cited by-同舟云学术

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Integrating spatial nonstationarity into SLEUTH for urban growth modeling: A case study in the Wuhan metropolitan area

Published:2020-11 Issue: Volume:84 Page:101545
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Liu Dandan,Clarke Keith C.,Chen Nengcheng

Funder

National Key R&D Program

National Natural Science Foundation of China

Creative Research Groups of Natural Science Foundation of Hubei Province of China

China Scholarship Council

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modelling,Geography, Planning and Development

Reference79 articles.

1. Improving the capability of an integrated CA-Markov model to simulate spatio-temporal urban growth trends using an analytical hierarchy process and frequency ratio;Aburas;International Journal of Applied Earth Observation and Geoinformation,2017

2. Using logistic regression in determining the effective variables in traffic accidents;Ahmed;Applied Mathematical Sciences,2017

3. Spatiotemporal simulation of urban growth patterns using agent-based modeling: The case of Tehran;Arsanjani;Cities,2013

4. A multi-scale modeling approach for simulating urbanization in a metropolitan region;Bhatti;Habitat International,2015

5. Using the SLEUTH urban growth model to simulate future urban expansion of the Isfahan metropolitan area, Iran;Bihamta;Journal of the Indian Society of Remote Sensing,2015

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