A simulation on Spatial Distribution of the Per unit Area Yield of Maize by Statistics

摘要

In the past years,integration of physical geographic factors and human factors,accompanying with the development of spatial information technology and its application in geosciences,has become an important research field.The key issue of integration is to spatial simulation of human factors,especially the socio-economic statistics.The important work is to allocate these statistics to each pixel according with the actual situation.Through summing up the existing research,we find that most studies focused on population,GDP,agricultural output value,etc.,while few of them paid close attention to agricultural fields.The current agricultural statistics still doesn't reflect the finer-scale reality.So,this paper launched the study of spatial simulation of agricultural statistics,taking Jilin province in northeastern China as study area.We selected the per unit area yield of maize by statistics,considering the important status of maize in agriculture of Jilin province.And the method we used were multiple linear regression model based on regionalization.From the process and result of this study,we can conclude that the study provides reasonable estimates of crop distribution.Also,spatial data of influencing factors provide richer information to design the actual distribution of agricultural statistics data.