地理科学进展

地理科学进展 ›› 2007, Vol. 26 ›› Issue (3): 11-17.doi: 10.11820/dlkxjz.2007.03.002

• 生态与环境 • 上一篇    下一篇

基于空间自相关的闽台城镇建设 用地分布研究

韦素琼1, 张金前1, 陈健飞2   

  1. 1. 福建师范大学自然资源研究中心, 福州350007|
    2. 广州大学地理科学学院, 广州510405
  • 收稿日期:2006-11-01 修回日期:2007-03-01 出版日期:2007-05-25 发布日期:2007-05-25
  • 通讯作者: 张金前, E- mail: zhangjinqian_cn@163.com
  • 作者简介:韦素琼( 1965- )| 女, 福建屏南人, 教授, 博士.主要从事经济地理、土地资源与规划等教学、科研工 作.E- mail:suqiongwei@126.com
  • 基金资助:

    国家自然科学基金项目( 40371054) ; 福建省科技厅重大攻关项目( 2003I002) ; 福建省自然科学基 金项目(D0510014) ; 海峡西岸资源环境创新能力建设项目.

Study on Construction Land Distr ibution in Fujian and Taiwan Provinces Based on Spatial Autocor r elation Analysis

WEI Suqiong1, ZHANG Jinqian1, CHEN Jianfei2   

  1. 1. Research Center of Natural Resources, Fujian Normal University, Fuzhou 350007, China|
    2. College of Geographical Science, Guangzhou University, Guangzhou 510405, China
  • Received:2006-11-01 Revised:2007-03-01 Online:2007-05-25 Published:2007-05-25

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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。

关键词: GIS, 建设用地, 空间统计, 空间自相关, 闽台

Abstract:

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.

Key words: construction land, Fujian and Taiwan, GIS, spatial autocorrelation, spatial statistics