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Land use structure determined the soil moisture condition and its spatial variation.
This approach must fit into a coherent conceptual and analytical framework covering different aspects, including social, economic, environmental and rational land use structure.
Land use structure was optimized by multi-objective programming, using remote sensing (RS) and geographical information system (GIS) techniques, analytic hierarchical programming (AHP) and expert consultancy.
Thus, spatial correlograms of potential landscape structure based on soil cover analysis can be used for the characterization of human-influenced landscape (land use) structure.
The digitized optimum spatial pattern embodying rationally-proportioned land use structure was obtained through GIS-aided redistribution of land use types.
The optimized land use structure re-apportioned woodlands, shrublands, grasslands, and croplands at 3.7%, 38.6%, 49.4%, and 6.3% of the land area respectively, compared to the current land use structure of 2.4%, 38.6%, 24.0%, and 12.6%, respectively, in the Changchuan Watershed.
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In terms of daily mobility this is good news for walking: the compact and mixed land use structures of inner-city areas promote the use of non-motorized transport modes.
It also contribute the CCPM to show construction plan scenarios with different land use structures and patterns and to compare the scenarios with changes in economic and environment values, etc.
While positive effects of compact and mixed land use structures on walking have been identified for 'traditional' neighborhoods, little knowledge exists about daily mobility in new inner-city areas.
AFIS, treated as a bioindicative group of species, may be a useful indicator of landscape and land-use structure transformation in urban environments.
The land-use structure of the early 18th century is still evident in the modern landscape.
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