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-Reference-Cited by-同舟云学术

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

Published:2015-02-10 Issue:8 Volume:30 Page:858-881
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Al-sharif Abubakr A.A.,Pradhan Biswajeet

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

http://www.tandfonline.com/doi/pdf/10.1080/10106049.2014.997308

Reference74 articles.

1. GIS-based sustainable city compactness assessment using integration of MCDM, Bayes theorem and RADAR technology

2. Modelling urban growth evolution and land-use changes using GIS based cellular automata and SLEUTH models: the case of Sana’a metropolitan city, Yemen

3. Urban Sprawl Analysis of Tripoli Metropolitan City (Libya) Using Remote Sensing Data and Multivariate Logistic Regression Model

4. Monitoring and predicting land use change in Tripoli Metropolitan City using an integrated Markov chain and cellular automata models in GIS

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