Abstract
A comprehensive analysis on the statistical data about the energy, environment, population and development of the social economy, is the necessary condition to solve regional environmental and social problems and to realize the sustainable and scientific development. But different statistical unit is the main obstacle of the integrated application of statistical data. Practice show that statistical data spatial gridding is an effective way to solve this problem. This paper presented the factor-based statistic spatial gridding process for the sum variable. This method firstly determined the factors that affecting the spatial distribution of statistical objects. Then it used the AHP method to obtain the weight of each factor, and applied the weights to grid calculation. The experiment proved that this method made the grid result more realistic.
Published Version
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