A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects
By Xiaoping Liu, Xun Liang, Xia Li, Xiaocong Xu, Jinpei Ou, Yimin Chen, Shaoying Li, Shaojian Wang, Fengsong Pei. 2017
1,511 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Global and Planetary Change, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/a31133a9b230912a4855078c1b87d6f39cce1d09
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In Global and Planetary Change
In Management, Monitoring, Policy and Law
Citations in the corpus
- Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method (2018, methodology): “Contents lists available at ScienceDirect Landscape and Urban Planning journal homepage: www.elsevier.com/locate/landurbplan Research Paper Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method Xun Lianga, Xiaoping Liua,⁎, Xia Lib,a,⁎, Yimin Chenb,a, ”
- Prediction of Land Use and Land Cover Changes for North Sumatra, Indonesia, Using an Artificial-Neural-Network-Based Cellular Automaton (2019, methodology): “A CA model can generate rich patterns and effectively represent nonlinear spatially stochastic LULC change processes [16,17].”