帮助 本站公告
您现在所在的位置:网站首页 > 知识中心 > 文献详情
文献详细Journal detailed

基于空间自相关的闽台城镇建设用地分布研究
Study on Construction Land Distribution in Fujian and Taiwan Provinces Based on Spatial Autocorrelation Analysis

作  者: ; ; ;

机构地区: 福建师范大学地理科学学院自然资源研究中心

出  处: 《地理科学进展》 2007年第3期11-17,127,共8页

摘  要: 空间自相关是一种重要的空间统计方法,用来检验某种地理现象或某一属性值的整体分布状况,判断此现象或属性值在空间上是否有聚集特性存在。本文利用2002年ASTER影像数据作为遥感数据源提取闽台建设用地信息,闽台建设用地密度的分布呈现出沿台湾海峡呈对称集聚分布的态势。通过建设用地密度的空间自相关分析,显示闽台建设用地空间分布整体上呈显著的空间正相关,集聚现象明显;而在局部上则呈现出不同的空间结构形态,建设用地高密度区主要集聚分布在闽东南沿海的闽江口、厦门湾和泉州湾三大城镇密集区及台湾西部的台北、台中和高雄三大都会区。这种空间相关关系的探讨对于认识闽台人口和社会经济的空间分布及福建省建设用地未来的发展具有重要的意义,也对福建省社会经济发展政策的制定提供重要参考依据。 Spatial autocorrelation is an important kind of spatial statistics, which is used to disclose the spatial structure of regional disparity. Spatial autocorrelation means self-correlation or spatial dependence among observations of a geo-referenced attribute. There are two different scales for spatial dependence: global indicators and local indicators. Based on the image data including Fujian and Taiwan provinces cutting from ASTER images in 2002 after geometric correction, the construction land patches were distilled, and the question of construction land density of regional disparity in Fujian and Taiwan was reconsidered by using spatial analysis methods. According to the analytical results, there is a significant positive spatial autocorrelation of construction land density in Fujian and Taiwan. That is to say, the relatively high (low) developed area tends to be located more often nearby other high (low) developed areas than expected by random chance, and then each area should not be viewed as an independent observation. We also investigate the spatial association between core areas and adjacent areas by computing the Local Moran I at county level. With the use of Moran's scatter plots and LISA (Local Indicators of Spatial Association) cluster maps, we can identify some different types of significant local spatial association based on the analysis of different areas in Fujian and Taiwan. As a result, the research provides an important cognition to construction land distribution in Fujian and Taiwan, and insights into the types of spatial association present in an economic region allow for more effective implementation of economic development policies in Fujian.

关 键 词: 建设用地 空间统计 空间自相关 闽台

领  域: [天文地球] [天文地球]

相关作者

作者 谢贤芬
作者 王永梅
作者 李事明
作者 王招治
作者 徐华云

相关机构对象

机构 华南师范大学地理科学学院
机构 暨南大学
机构 广州大学地理科学学院
机构 华南农业大学公共管理学院
机构 华南师范大学经济与管理学院

相关领域作者

作者 徐锦堂
作者 张祖荣
作者 曲进
作者 黄霓
作者 林平凡