摘要
在已有GIS理论与空间数值模拟的基础上,根据涪陵区DEM、降水、温度、农用地质量等级和永久基本农田等数据,综合使用FME与ArcGIS的数据链接集成、可视化与图解建模等功能,并结合数据统计分析软件SPSS,发现农用地利用等指数分布与其他地理要素存在线性相关关系;并在此基础上构建了多元线性回归模型。此模型主要用于解决永久基本农田划定中利用等指数部分缺失问题。
Based on the research of GIS and data simulation theory, according to DEM, precipitation, temperature, quality levels of agricultural land and permanent basic farmland data in Fuling District, this paper comprehensive used the FME and ArcGIS capabilities of data connections, integration, visualization and graphical modeling, and combined with statistical analysis software SPSS. The results show that agricultural using index and other geographic features have linear relationships, with this law and constructing multiple linear regression models. This model is primarily used in settling the issues of farmland using index deletion in permanent basic farmland designation.
出处
《地理空间信息》
2014年第1期114-116,11,共3页
Geospatial Information
基金
"十二五"农村领域国家科技项目(2012BAJ231300)