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(2018) Capturing the heterogeneity of urban growth in South Korea using a latent class regression model. Transactions in GIS, 22 (5) 1325 doi:10.1111/tgis.12492

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Reference TypeJournal (article/letter/editorial)
TitleCapturing the heterogeneity of urban growth in South Korea using a latent class regression model
JournalTransactions in GIS
Year2018 (October)Volume22
Issue5
PublisherWiley
DOIdoi:10.1111/tgis.12492Search in ResearchGate
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Mindat Ref. ID14442431Long-form Identifiermindat:1:5:14442431:5
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Full Reference(2018) Capturing the heterogeneity of urban growth in South Korea using a latent class regression model. Transactions in GIS, 22 (5) 1325 doi:10.1111/tgis.12492
Plain Text(2018) Capturing the heterogeneity of urban growth in South Korea using a latent class regression model. Transactions in GIS, 22 (5) 1325 doi:10.1111/tgis.12492
In(2018, October) Transactions in GIS Vol. 22 (5) Wiley

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Park, Soyoung, Lee, Jae Hyun, Clarke, Keith C. (2018) Capturing the heterogeneity of urban growth in South Korea using a latent class regression model. Transactions in GIS, 22 (3) 789-805 doi:10.1111/tgis.12451
Moreri, Kealeboga (2021) Volunteer reputation determination in crowdsourcing projects using latent class analysis. Transactions in GIS, 25 (2) 968-984 doi:10.1111/tgis.12713
Alaei Moghadam, Sanaz, Karimi, Mohammad, Habibi, Kyoumars (2018) Simulating urban growth in a megalopolitan area using a patch-based cellular automata. Transactions in GIS, 22 (1) 249-268 doi:10.1111/tgis.12309
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(2018) Transactions in GIS, 22 (1) Wiley. doi:10.1111/tgis.2018.22.issue-1
(2018) Transactions in GIS, 22 (2) Wiley. doi:10.1111/tgis.2018.22.issue-2
Forghani, Mohammad, Karimipour, Farid (2018) Interplay between urban communities and human-crowd mobility: A study using contributed geospatial data sources. Transactions in GIS, 22 (4) 1008-1028 doi:10.1111/tgis.12465
 
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