Industrial landscape analysis with high spatial resolution grid in GIS

Industrial landscape (IL) is the spatial consequence of industry behaviors. Aboundance of industrial spatial pattern and dependence can be observed due to the variation of different geographical factors. Location of work-force and capital also differ along the earth surface. Because of data collection difficulty, administrative area is often used as the basic spatial analysis unit and high spatial resolution less introduced. In the paper, data of the 2nd National Economic Sensus of China are employed to carry out high spatial resolution IL analysis. Spatial statistics methods are conducted to find industry cluster, special industry zone and spatial dependence at 1Km² resolution grid in GIS software. It´s argued that subtle spatial segmentation will violate industry characters in some spatial cells in which only few enterprise sites. Therefore supernumerary filters should be introduced to exclude these cells.