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Simulating urban land growth by incorporating historical information into a cellular automata model

Bibliographic Data

ID21468898
AuthorsHaijun Wang (0000-0002-3240-0469, Wuhan University), Jiaqi Guo (0000-0001-5103-345X, Wuhan University, corresponding author), Bin Zhang (0009-0002-1717-0375, Wuhan University), Haoran Zeng (0000-0002-9973-4228, Wuhan University)
Year2021
Volume214
Pages104168
Publication date2021-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLandscape and Urban Planning (JOURNAL)
Journal identifiersISSN: 0169-2046 • E-ISSN: 1872-6062
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.landurbplan.2021.104168
OpenAlexW3173758068
LanguageEN
Citations received10
References cited58

Cellular automaton · Econometrics · Exponential smoothing · Logistic function · Smoothing · Statistics · Computer Science · Land Use and Ecosystem Services · Mathematics · Remote Sensing and Land Use · Urban Design and Spatial Analysis · Artificial Intelligence

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  • Integrating SSPs and multi-model ensembles in exploring parameter relationships for vertical urban development using a 3D-UGM

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  • Modeling gridded urban fractional change using the temporal context information in the urban cellular automata model

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  • Towards automatic calibration of neighbourhood influence in cellular automata land-use models

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  • Multi-scenario simulation of urban land change in Shanghai by random forest and CA-Markov model

    Open Access•Liang Zhou, Xuewei Dang et al.•Sustainable Cities and Society•2020

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  • Changing Spatial Distribution and Determinants of Land Development in Chinese Cities in the Transition from a Centrally Planned Economy to a Socialist Market Economy

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Unique citing works10
Citations per year2,5
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 9

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