
Spatio-temporal Analysis and Optimization of Land Use/Cover Change
Shenzhen as a Case Study
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This book concentrates on developing a set of innovative models to address land use challenges. It subsequently applies them by analysing and optimizing the land use in SEZ, Shenzhen, China. Within the logistic regression framework, it firstly proposes three spatio-temporal logit models for land use change analysis, namely, GTWLM, ST-PLM and GSTLM for short. All of these have extended or improved the existing model in various aspects. The book also describes a MOO-based two-level spatial planning model of land use, which aims at managing and coordinating the land use at different geographic ex...
This book concentrates on developing a set of innovative models to address land use challenges. It subsequently applies them by analysing and optimizing the land use in SEZ, Shenzhen, China. Within the logistic regression framework, it firstly proposes three spatio-temporal logit models for land use change analysis, namely, GTWLM, ST-PLM and GSTLM for short. All of these have extended or improved the existing model in various aspects. The book also describes a MOO-based two-level spatial planning model of land use, which aims at managing and coordinating the land use at different geographic extents and involves spatial layouts and structures of land use at different levels.