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Mirbagheri, Babak, Alimohammadi, Abbas (2017) Improving urban cellular automata performance by integrating global and geographically weighted logistic regression models. Transactions in GIS, 21 (6) 1280-1297 doi:10.1111/tgis.12278

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Reference TypeJournal (article/letter/editorial)
TitleImproving urban cellular automata performance by integrating global and geographically weighted logistic regression models
JournalTransactions in GIS
AuthorsMirbagheri, BabakAuthor
Alimohammadi, AbbasAuthor
Year2017 (December)Volume21
Issue6
PublisherWiley
DOIdoi:10.1111/tgis.12278Search in ResearchGate
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Mindat Ref. ID14442335Long-form Identifiermindat:1:5:14442335:6
GUID0
Full ReferenceMirbagheri, Babak, Alimohammadi, Abbas (2017) Improving urban cellular automata performance by integrating global and geographically weighted logistic regression models. Transactions in GIS, 21 (6) 1280-1297 doi:10.1111/tgis.12278
Plain TextMirbagheri, Babak, Alimohammadi, Abbas (2017) Improving urban cellular automata performance by integrating global and geographically weighted logistic regression models. Transactions in GIS, 21 (6) 1280-1297 doi:10.1111/tgis.12278
In(2017, December) Transactions in GIS Vol. 21 (6) Wiley

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Shariat-Mohaymany, Afshin, Shahri, Matin, Mirbagheri, Babak, Matkan, Ali Akbar (2015) Exploring Spatial Non-Stationarity and Varying Relationships between Crash Data and Related Factors Using Geographically Weighted Poisson Regression. Transactions in GIS, 19 (2) 321-337 doi:10.1111/tgis.12107
Weir, Ruth (2019) Using geographically weighted regression to explore neighborhood‐level predictors of domestic abuse in the UK. Transactions in GIS, 23 (6) 1232-1250 doi:10.1111/tgis.12570
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Mirbagheri, Babak, Alimohammadi, Abbas (2018) Integration of Local and Global Support Vector Machines to Improve Urban Growth Modelling. ISPRS International Journal of Geo-Information, 7. 347pp. doi:10.3390/ijgi7090347
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Lu, Yi, Laffan, Shawn, Pettit, Christopher (2022) A geographically partitioned cellular automata model for the expansion of residential areas. Transactions in GIS, 26 (3) 1548-1571 doi:10.1111/tgis.12866
Harris, Rich, Dong, Guanpeng, Zhang, Wenzhong (2013) Using Contextualized Geographically Weighted Regression to Model the Spatial Heterogeneity of Land Prices in Beijing, China. Transactions in GIS, 17 (6) 901-919 doi:10.1111/tgis.12020
Fotheringham, A. Stewart, Yue, Han, Li, Ziqi (2019) Examining the influences of air quality in China's cities using multi‐scale geographically weighted regression. Transactions in GIS, 23 (6) 1444-1464 doi:10.1111/tgis.12580
Foroutan, Ehsan, Delavar, Mahmoud Reza, Pijanowski, Bryan Christopher, Araabi, Babak Nadjar (2022) Urban growth modeling based on cellular automata with transition rules optimized using genetic fuzzy systems. Transactions in GIS, 26 (8) 3253-3276 doi:10.1111/tgis.13000
Zeng, Haoran, Wang, Haijun, Zhang, Bin (2024) A high‐performance cellular automata model for urban expansion simulation based on convolution and graphic processing unit. Transactions in GIS, 28 (4) 947-968 doi:10.1111/tgis.13163
Chen, Feng, Wang, Qiang, Zhou, Yu (2025) Geographically Weighted Regression–Based Modeling on the Basis of Bandwidth and Autoregressive Coefficient Uncertainty Determined Using Akaike Weights. Transactions in GIS, 29 (1). doi:10.1111/tgis.70005
 
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