摘要
Modelling landscapes with GIS provides a powerful tool to analyze and model terrestrial ecosystems for land use planning. In order to gain realistic results, input data has to represent the natural environment as realistically as possible. While some of the fundamental data layers such as topography and soils are more or less static, climatic data is variable both in space and time.
Modelling landscapes with GIS provides a powerful tool to analyze and model terrestrial ecosystems for land use planning. In order to gain realistic results, input data has to represent the natural environment as realistically as possible. While some of the fundamental data layers such as topography and soils are more or less static, climatic data is variable both in space and time. In addition, climatic data is measured at discrete locations and depends to a considerable extent on the topography around the sampling site. Most interpolation methods that are used to generate gridded climate data surfaces, however, fail to represent the influence of topography on climate altogether or use overly simplistic models.
出处
《长江流域资源与环境》
CAS
CSSCI
CSCD
北大核心
2006年第5期649-649,共1页
Resources and Environment in the Yangtze Basin
