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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.