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基于GIS的黑龙江省耕地集约利用水平的空间格局分析
引用本文:李静,宋戈,郭蒙,郑园园.基于GIS的黑龙江省耕地集约利用水平的空间格局分析[J].水土保持通报,2009,29(1):123-127.
作者姓名:李静  宋戈  郭蒙  郑园园
作者单位:东北农业大学资源与环境学院,黑龙江,哈尔滨,150030  
基金项目:国家社会科学基金,中国博士后科学基金,黑龙江省博士后启动基金 
摘    要:利用现代信息手段研究一定尺度的耕地集约利用水平空间分布,为促进区域规模化耕地集约经营以及缩小区域耕地集约利用水平差距具有重要的作用.以黑龙江省64个县(市)为评价单元,采用熵值法和综合指数法定量计算各县(市)耕地集约利用水平,利用GIS手段和地学模型方法,分析和研究各县(市)耕地集约利用水平的空间分布.结果表明,64个县(市)耕地集约利用水平呈现4级分布,东南部耕地集约利用水平明显高于西北部,全局Moran指数,为0.23,各县(市)耕地集约利用水平趋向聚集,但聚集程度不强,耕地集约利用高值区的扩散效应不显著.

关 键 词:耕地集约利用  空间格局分析  黑龙江省
收稿时间:2008/8/17 0:00:00
修稿时间:2008/9/24 0:00:00

Spatial Pattern Analysis of Intensive Use of Cultivated Land in Heilongjiang Province Based on GIS
LI Jing,SONG Ge,GUO Meng and ZHENG Yuan-yuan.Spatial Pattern Analysis of Intensive Use of Cultivated Land in Heilongjiang Province Based on GIS[J].Bulletin of Soil and Water Conservation,2009,29(1):123-127.
Authors:LI Jing  SONG Ge  GUO Meng and ZHENG Yuan-yuan
Institution:College of Resources and Environment, Northeast Agricultural University, Harbin, Heilongjiang 150030, China;College of Resources and Environment, Northeast Agricultural University, Harbin, Heilongjiang 150030, China;College of Resources and Environment, Northeast Agricultural University, Harbin, Heilongjiang 150030, China;College of Resources and Environment, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
Abstract:This study takes advantage of modern information means to study the spatial distribution of the intensive use of cultivated land on a certain level.Modern information means play a very important role in promoting farmland management at regional scale and reducing the gap of the intensive use of farmland.The study takes 64 counties as evaluation units to study and analyze the level of spatial distribution of the intensive use of cultivated land by adopting entropy and aggregative index number method and using GIS and geo-science model.Results show that the intensive landuse level in 64 counties appears 4 grade distributions.The intensive use of cultivated land in southeast is higher than northwest.The global Moran index I is 0.23,indicating that the intensive use level of cultivated land appears an aggregated trend in each county,but the aggregated level is not very high.It is not obvious for the high intensive use level region to diffuse its effects.
Keywords:GIS
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