基于多地理要素基本农田利用等指数空间数值模拟——以重庆市涪陵区为例  

Space Numerical Simulation of Basic Farmland Utilization Rate Based on Multiple Geographic Elements——A Case Study of Fuling District,Chongqing

作　　者：屈清[1] 田永中[1] 赵琳[1] 唐小龙[1] 梁甜[1] 

机构地区：[1]西南大学地理科学学院,重庆400715

出　　处：《西南大学学报（自然科学版）》2014年第6期149-154,共6页Journal of Southwest University(Natural Science Edition)

基　　金："十二五"农村领域国家科技项目(2012BAJ231300);重庆市自然科学基金(CSTC2010BB0146)

摘　　要：以涪陵区基本农田利用等指数空间数值模拟为例,结合有效土层厚、土壤有机质、海拔、自然质量、年均温、年均降水量、坡度、起伏度等多个地理要素,综合使用GIS空间插值、SPSS回归分析等数据分析方法,探寻农用地利用等指数与其它地理要素的相关关系,以获取利用等指数空白区域的数值.结论表明:在进行空间插值中,Kriging插值优于IDW插值,依据要素之间的相关关系构建回归模型能够较好地实现利用等指数的模拟.In a case study of Fuling district of Chongqing, spatial numerical simulation was made of the uti- lization rate of basic farmland. The methods of GIS spatial interpolation and SPSS data analysis were em- ployed in combination to analyze a variety of geographic elements like valid thickness of soil, soil organic matter, elevation, natural quality, average annual temperature, annual precipitation, slope and undulation so as to understand the relationship between agricultural land using rate and other geographic elements and obtain the utilization rate value for the blank areas. The results showed that the method of spatial interpo- lation with Kriging interpolation was better than IDW interpolation, and the regression model built accord- ing to the relationship among the geographic elements can satisfactorily simulate the basic farmland utiliza- tion rate.

关 键 词：空间数值模拟 空间插值 基本农田 利用等指数 涪陵区 

分 类 号：F301.2[经济管理—产业经济]