Spatialization Approach to 1km Grid GDP Supported by Remote Sensing

The study of resources and environmental sciences requires greatly the spatialized data sets of socio-economic data which are always obtained from administrative regions at county or province level. The authors integratedly analyze the regional differences of China' s economic development first. An approach to the spatial-ization simulation of China' s gross domestic product (GDP) from original county level statistical data is presented to the 1km gridded database with the standard coordinate system, data format and metadata document. The data used in the paper is land use spatial database derived from Landsat TM at 1: 100 000 scale with 25 classes land use types as well as topographic maps of whole China in 1995. The interactions among GDP structure and different land use patterns are analyzed and simulated. Some key indicators are selected to build the model of GDP spatialization simulation. Based on the hierarchical regions of economic development level, spatial relation model between GDP and land use pattern is developed to extend the county GDP to the 1km grid.