Improving land-use change modeling by integrating ANN with Cellular Automata-Markov Chain model
Author:
Funder
Jordan University of Science and Technology
Publisher
Elsevier BV
Subject
Multidisciplinary
Reference78 articles.
1. Spatio-temporal simulation and prediction of land-use change using conventional and machine learning models: a review;Aburas;Environ. Monit. Assess.,2019
2. The simulation and prediction of spatio-temporal urban growth trends using cellular automata models: a review;Aburas;Int. J. Appl. Earth Obs. Geoinf.,2016
3. 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;Int. J. Appl. Earth Obs. Geoinf.,2017
4. Assessment of the urban sprawl on agriculture lands of two major municipalities in Jordan using supervised classification techniques;Al-Kofahi;Arab. J. Geosci.,2018
5. Investigating domestic gardens’ densities, spatial distribution and types among city districts;Al-Kofahi;Urban Ecosyst.,2019
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