A simulation on Spatial Distribution of the Per unit Area Yield of Maize by Statistics
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 doesnt 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.
spatial distribution per unit area yield of maize regression model regionalization
SHI Shuqin CHEN Youqi YAO Yanmin LI Zhibin
Tianjin Polytechnic University,Tianjin 300387,China Institute of Agricultural Resources &Regional Planning,Chinese Academy of Agricultural Sciences,Beij
国际会议
Woekshop on Agricultural Land Use and its Effect in APEC Member Economies(APEC地区农业土地利用及其影响国际研讨会)
北京
英文
171-181
2009-10-19（万方平台首次上网日期，不代表论文的发表时间）