Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model

Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model

2002 | PETER H. VERBURG, SHARIFAH S.A. MASTURA, WELMOED SOEPBOER, A. VELDKAMP, RAMIL LIMPIADA, VICTORIA ESPALDON
The chapter introduces the CLUE-S model, a dynamic, spatially explicit land-use change model designed for regional analysis. The model is based on systems theory and integrates socio-economic and biophysical factors to analyze land-use change. It addresses the hierarchical organization of land use systems, spatial connectivity, and stability, with user-specified variables defining the elasticity of land-use types to conversion. The model has been applied in the Philippines and Malaysia to illustrate its functionality and validation. The CLUE modeling framework, which was originally developed for national and continental scales, has been adapted for regional applications, addressing the need for fine spatial resolution and specific data representations. The chapter also discusses the limitations of empirical models and the importance of spatially explicit approaches in understanding and projecting land-use change dynamics.The chapter introduces the CLUE-S model, a dynamic, spatially explicit land-use change model designed for regional analysis. The model is based on systems theory and integrates socio-economic and biophysical factors to analyze land-use change. It addresses the hierarchical organization of land use systems, spatial connectivity, and stability, with user-specified variables defining the elasticity of land-use types to conversion. The model has been applied in the Philippines and Malaysia to illustrate its functionality and validation. The CLUE modeling framework, which was originally developed for national and continental scales, has been adapted for regional applications, addressing the need for fine spatial resolution and specific data representations. The chapter also discusses the limitations of empirical models and the importance of spatially explicit approaches in understanding and projecting land-use change dynamics.
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