Journal Article10.1016/J.LANDURBPLAN.2018.04.016
Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method.
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TL;DR: This paper argues that the delineation needs to integrate the top-down approach with CA for projecting complex land use changes under designed scenarios, and proposes a CA-based method called the future land use simulation (FLUS) that can support urban planning by generating feasible patterns for UGBs under different planning scenarios.
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About: This article is published in Landscape and Urban Planning. The article was published on 01 Sep 2018. The article focuses on the topics: Spatial planning & Urban planning.
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Citations
Urban Multi-Scenario Land Use Optimization Simulation Considering Local Climate Zones
Jie Chen,Zhijun Dong,Ruijie Shi,Geng Sun,Ya Guo,Zhike Peng,Min Deng,Kaiqi Chen +7 more
TL;DR: This study proposes a multi-scenario optimization method for urban thermal environments in Changsha City, using local climate zones and a genetic algorithm to improve temperature environments and provide guidance for urban planning decision-makers.
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•Journal Article
Fast Binary Dilation/Erosion Algorithm Using Kernel Subdivision
TL;DR: The Kernel Sub-Division algorithm as discussed by the authors decomposes the n-dimensional structuring element, into several subsets and operates on the object contours in the image to reduce the complexity of binary morphological dilation and erosion.
1
Modeling land use change prediction using multi-model fusion techniques: A case study in the Pearl River Delta, China
Youcheng Song,Haijun Wang,Xiaotao Peng,Duan Sun,Rui Chen +4 more
TL;DR: This study proposes a multi-model fusion approach combining cellular automata, convolutional neural networks, and multi-agent systems to improve land use change prediction accuracy in the Pearl River Delta, China, outperforming single-model approaches.
1
References
Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model
Peter H. Verburg,Welmoed Soepboer,A. Veldkamp,Ramil Limpiada,Victoria Espaldon,Sharifah S.A. Mastura +5 more
TL;DR: A dynamic, spatially explicit, land-use change model is presented for the regional scale: CLUE-S that explicitly addresses the hierarchical organization of land use systems, spatial connectivity between locations and stability.
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A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects
Xiaoping Liu,Xun Liang,Xia Li,Xia Li,Xiaocong Xu,Jinpei Ou,Yimin Chen,Yimin Chen,Shaoying Li,Shaojian Wang,Fengsong Pei +10 more
TL;DR: A future land use simulation (FLUS) model that explicitly simulates the long-term spatial trajectories of multiple LUCCs, and the simulation accuracy is higher than other well-accepted models, such as CLUE-S and CA models.
1.3K
Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore.
TL;DR: A cellular automaton model, that was calibrated by using historical digital maps of urban areas and can be used to predict the future extent of an urban area, is applied to two rapidly growing, but remarkably different urban areas.
Neural-network-based cellular automata for simulating multiple land use changes using GIS
Xia Li,Anthony Gar-On Yeh +1 more
TL;DR: A three-layer neural network with multiple output neurons is designed to calculate conversion probabilities for competing multiple land uses and has been successfully applied to the simulation of multiple land use changes in a fast growing area in southern China.
Combining top-down and bottom-up dynamics in land use modeling: exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model
TL;DR: In this paper, the authors introduce a modeling approach that integrates demand-driven changes in land area with locally determined conversion processes to simulate the evolution of natural vegetation on abandoned farmland in Europe.
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