Analysis of the Driving Force of Land Use Change Based on Geographic Detection and Simulation of Future Land Use Scenarios
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- Xiaoli Hu & Xin Li & Ling Lu, 2018. "Modeling the Land Use Change in an Arid Oasis Constrained by Water Resources and Environmental Policy Change Using Cellular Automata Models," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
- Liang Guo & Xiaohuan Xi & Weijun Yang & Lei Liang, 2021. "Monitoring Land Use/Cover Change Using Remotely Sensed Data in Guangzhou of China," Sustainability, MDPI, vol. 13(5), pages 1-14, March.
- Siqin Tong & Gang Bao & Ah Rong & Xiaojun Huang & Yongbin Bao & Yuhai Bao, 2020. "Comparison of the Spatiotemporal Dynamics of Land Use Changes in Four Municipalities of China Based on Intensity Analysis," Sustainability, MDPI, vol. 12(9), pages 1-21, May.
- Gomes, Eduardo & Abrantes, Patrícia & Banos, Arnaud & Rocha, Jorge, 2019. "Modelling future land use scenarios based on farmers’ intentions and a cellular automata approach," Land Use Policy, Elsevier, vol. 85(C), pages 142-154.
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Keywords
LULCC; artificial neural network-cellular automata; simulation;All these keywords.
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