Study on the spatial variability of agricultural output: take Guangxi Zhuang Autonomous Region as an example
Yan Zhongyu;Cao Weihua;School of Mechanical and Control Engineering,Guilin University of Technology;
[Purpose] To investigate the spatial variation characteristics of agricultural output value in Guangxi by using geostatistical methods and to reveal the response pattern of its spatial variation pattern to related factors, this paper provides scientific reference for agricultural decision-making management department′s agricultural area classification management and precision agriculture. [Method] Firstly, 70 samples were obtained by removing abnormal values through the quadruple method and checking the sample representation coefficients,then the statistical characteristic values of the samples were obtained and analyzed using classical statistical methods,and finally the spatial variability characteristics of agricultural production information in Guangxi were analyzed using geostatistical theory, and the spatial pattern of agricultural production value in Guangxi was analyzed using Kriging interpolation method and Moran index. [Result] The analysis results show that the coefficients of variation of the raw data and log-transformation of agricultural output value in Guangxi are 61% and 21%respectively,which belong to medium variability; the Gaussian model was selected for fitting by comparing the theoretical model fitting results,and its block gold effect is 0.226%; finally,the Moran index was used for spatial autocorrelation analysis, and its global Moran index is 0.327 661,which indicates that its spatial distribution is not random. indicating that its spatial distribution is not random and there is obvious spatial agglomeration within it.[Conclusion]The spatial variability of agricultural output value in Guangxi is mainly influenced by its structural factors,and the random factors have less influence on the spatial variability of the region. In general,the high-value areas of agricultural output in Guangxi are in northwestern Guangxi,the low-value areas are in central and southern Guangxi,and the clustering in other areas is not obvious.