Spatial Pattern Analysis of Intensive Use of Cultivated Land in Heilongjiang Province Based on GIS

LI Jing; SONG Ge; GUO Meng; ZHENG Yuan-yuan

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Spatial Pattern Analysis of Intensive Use of Cultivated Land in Heilongjiang Province Based on GIS

- Spatial Pattern Analysis of Intensive Use of Cultivated Land in Heilongjiang Province Based on GIS
- Bulletin of Soiland Water Conservation Vol. 28, Issue 1, Pages: 123-127(2009)
- 作者机构：
  
  东北农业大学资源与环境学院,黑龙江,哈尔滨,150030
- 作者简介：
- 基金信息：
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- Published：2009
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LI Jing, SONG Ge, GUO Meng, et al. Spatial Pattern Analysis of Intensive Use of Cultivated Land in Heilongjiang Province Based on GIS[J]. Bulletin of Soiland Water Conservation, 2009, 28(1): 123-127.
DOI：

LI Jing, SONG Ge, GUO Meng, et al. Spatial Pattern Analysis of Intensive Use of Cultivated Land in Heilongjiang Province Based on GIS[J]. Bulletin of Soiland Water Conservation, 2009, 28(1): 123-127. DOI：

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I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。

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.

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