Simulation of urban expansion and encroachment using cellular automata and multi-agent system model—A case study of Tianjin metropolitan region, China

Research article (Ecological Indicators, 2016) · cited 71× · AI/ML
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Simulation of urban expansion and encroachment using cellular automata and multi-agent system model—A case study of Tianjin metropolitan region, China

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Simulation of urban expansion and encroachment using cellular automata and multi-agent system model—A case study of Tianjin metropolitan region, China is a scholarly article[1].

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  • Simulation of urban expansion and encroachment using cellular automata and multi-agent system model—A case study of Tianjin metropolitan region, China's A case study of Tianjin metropolitan region, China — instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Simulation of urban expansion and encroachment using cellular automata and multi-agent system model—A case study of Tianjin metropolitan region, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/simulation-of-urban-expansion-and-encroachment-using-cellular-automata-and-multi-agent-system-modela-case-study-of-tianj
MLA “Simulation of urban expansion and encroachment using cellular automata and multi-agent system model—A case study of Tianjin metropolitan region, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/simulation-of-urban-expansion-and-encroachment-using-cellular-automata-and-multi-agent-system-modela-case-study-of-tianj.
BibTeX @misc{4ortxyz_simulation-of-urban-expansion-and-encroachment-using-cellular-automata-and-multi-agent-system-modela-case-study-of-tianj_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Simulation of urban expansion and encroachment using cellular automata and multi-agent system model—A case study of Tianjin metropolitan region, China}}, year = {2026}, url = {https://4ort.xyz/entity/simulation-of-urban-expansion-and-encroachment-using-cellular-automata-and-multi-agent-system-modela-case-study-of-tianj}, note = {Accessed: 2026-05-24}}
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