Spatial Autocorrelation Analysis based on Grain Yield Data in Shaanxi Province

Abstract

This article embarks from the spatial analysis of geographic information system technology, the yield of grain yield data abstraction into planar data form in the GIS, by using geological data model to analyze the space of per unit area yield of grain production since the correlation. Spatial autocorrelation is mainly characterized by spatial autocorrelation coefficient, mainly divided into the global spatial autocorrelation and local spatial autocorrelation two categories, the use of global and local Morans' I analysis method and Morans scatter diagram to analyze the specific statistical standard per unit area yield of grain yield change trend of Shaanxi province.