中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 基于多元回归分析和灰色模型的康乐县城乡建设用地预测 甘肃农业大学学报 2012,47 (1) 134-139
Position: Home > Articles > Forecast of urban and rural construction land based on the multiple regression analysis and gray model in Kangle Country Journal of Gansu Agricultural University 2012,47 (1) 134-139

基于多元回归分析和灰色模型的康乐县城乡建设用地预测

作  者：
王蓉;张仁陟;陈英
单  位：
甘肃农业大学资源与环境学院
关键词：
城乡建设用地;多元回归分析;GM(1,1)灰色预测;康乐县
摘  要：
结合多元回归分析和GM(1,1)灰色预测模型,以康乐县为研究对象,通过2000年～2008年的城乡建设用地面积数据预测了2015年和2020年的康乐县城乡用地面积.结果表明:通过多元回归分析,灰色预测模型的2015年和2020年康乐县城乡建设用地预测结果分别为4 671.16、4 698.28hm2和4 783.04、4 827.81hm2,与城乡规划指标4 898.25、4 916.63hm2较为相近,预测可行.
译  名：
Forecast of urban and rural construction land based on the multiple regression analysis and gray model in Kangle Country
作  者：
WANG Rong,ZHANG Ren-zhi,CHEN Ying(College of Resources and Environmental Science,Gansu Agricultural University,Lanzhou 730070,China)
关键词：
urban and rural construction land;multiple regression analysis;GM(1,1) grey forecasting;Kangle Country
摘  要：
By analyzing the national economic indicators and the changing data of urban and rural construction land area in Kangle County from 2000 to 2008,multiple regression analysis was used to select out seven social-economic indicators as predict factors,and GM(1,1) grey forecasting model was also used to predict these factors as the comparison,then the urban and rural construction land area of Kangle County in 2015 and 2020 was predicted.The results showed that the urban and rural construction land area of Kangle County predicted by multiple regression analysis and GM(1,1) grey forecasting model in 2015 and 2020 were 4671.16 hm2 and 4698.28 hm2 as well as 4783.04 hm2 and 4857.81 hm2 respectively.The result was close to the planning indexes,4898.25 hm2 and 4916.63 hm2,this showed that the prediction was feasible.

相似文章

导出引用
计量
文章访问数: 12
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46