摘要
空间信息在线统计分析受数据格式和专业软件的限制,难以实现网络资源共享;W3C制定的可缩放矢量图形(SVG)标准,对WebGIS空间数据的可视化和空间分析提供了一个开放的解决方案。鉴于此,该文提出了一种基于SVG的在线空间自相关分析方法,将地图单元构建成二元邻接矩阵,再经空间权重矩阵计算方法将其转换为行标准化矩阵,以满足空间统计分析方法对数据的要求。该方法既可解决多种常用空间数据格式的通用性和标准化问题,又实现了网络在线空间自相关分析。实验方案采用B/S的结构模式,以2007-2009年中国各省区的经济能源消耗指标为研究对象,采用全局和局部Moran指数衡量各省区能源指标间的空间关联,分析中国经济能源消耗指标分布特征及发展不均衡状态,并指出改善方向。
Online statistical analysis of spatial information is restricted to spatial data formats and specific application software environment, so it＇s difficult to realize the sharing of resources on the Internet. SVG, which was drafted by W3C, provides an open solution for spatial data＇s visualization and analysis in WebGIS. For that reason, a SVG based online analytical method of spatial autocorrelation was discussed in this paper. According to this method, a binary connectivity matrix is constructed by the contiguous geographical units, and then the spatial weight matrix algorithm is used to get the row-standardized matrix, in order to meet the requirements of spatial statistical analysis. On one hand, it can solve the shortcoming of generality and standardiza- tion between different spatial data formats. On the other band, an online method of spatial autocorrelation analysis is accom- plished. During the whole procedure, the B/S architecture is applied to fulfill an online spatial autocorrelation service. In the ex periment step, the indicator of Moran＇s I is used to measure the spatial correlation of the regional economical energy consump- tion from 2007 to 2009 in China. From the experiment result, distribution characteristics of regional economical energy consump- tion are presented by some statistical graphs. In the last, this paper gets some conclusions and suggestions for improvement.
出处
《地理与地理信息科学》
CSCD
北大核心
2012年第5期43-46,共4页
Geography and Geo-Information Science
基金
广东省百项工程项目(2002B32101)
广东省重点引导项目(2004B32501001
2005B30801006)
