Recent Advances in Software for Spatial Analysis in the Social Sciences
Recent Advances in Software for Spatial Analysis in the Social Sciences
复制标题
社会科学空间分析软件的最新进展
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
L. Anselin
中科院分区：
文献类型：
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作者：
S. Rey;L. Anselin
在过去的十年中，许多研究项目都集中在空间统计分析软件的开发和实施上。本期汇集了一系列代表社会科学空间分析软件最新发展的文章。这些文章是从最近两次空间信息科学会议上发表的文章中挑选出来的。第一次是关于“空间软件工具开发”的专家会议，由美国空间集成社会科学中心主办，于2002年5月在加利福尼亚的圣巴巴拉举行。第二次是关于“人类和社会科学的空间信息科学”的研讨会，于2004年1月在东京大学举行。这两次会议涵盖了从工具开发和设计到用户社区和应用程序的广泛问题。他们将软件开发人员、实证研究人员以及私营和公共部门实体的富有成效的组合聚集在一起，对空间数据分析工具的科学现状进行评估。从这些会议中产生的感觉是一个充满活力的领域，有助于工具越来越多地应用于整个社会科学的研究。鉴于这些发展，我们认为是时候汇集一些有代表性的文章，突出这个快速发展领域的一些关键问题和发展。第一篇文章由Anselin、Syabri和Kho撰写，概述了GeoDa，这是一个支持交互式探索性空间数据分析的免费程序。GeoDa的目标用户是非地理信息系统（gis）用户，其设计要求尽可能少地使用其他软件包。它的目标是为分析人员提供一个用户友好但功能强大的集成包，支持经验空间数据分析的所有阶段，从绘图和地理可视化到空间自相关分析，多变量探索性数据分析，最后是验证性空间回归分析。尽管本文中描述的实现是一个闭源包，但正在进行的研究工作是将代码移植到一个开源工具包，并使该包可用于多个平台
During the past decade, numerous research projects have focused on the development and implementation of spatial statistical analysis software. This issue brings together a collection of articles representing recent developments in spatial analysis software for the social sciences. The articles were selected from those presented at two recent conferences on spatial information science. The first was a specialist meeting on ‘‘Spatial Software Tools Development,‘‘ sponsored by the U.S. Center for Spatial Integrated Social Science and held in May 2002 in Santa Barbara, California. 1 The second gathering was a symposium on ‘‘Spatial Information Science for Human and Social Science,’’ held at the University of Tokyo in January 2004. The two meetings covered a wide range of issues from tool development and design to user communities and applications. They brought together a productive mix of software developers, empirical researchers, and private and public sector entities to take stock of the state of the science regarding tools for spatial data analysis. What emerged from these meetings was a sense of a vibrant field contributing to tools being increasingly applied in research across the social sciences. Given these developments, we thought it was timely to bring together a representative selection of articles that highlight some of the key issues and developments in this rapidly evolving field. The first article, by Anselin, Syabri, and Kho provides an overview of GeoDa , a free program supporting interactive exploratory spatial data analysis. GeoDa is targeted at the non-GIS (geographical information systems) user and is designed to require as little as possible in terms of other software packages. Its goal is to provide analysts with a user-friendly, but powerful, integrated package that supports all phases of an empirical spatial data analysis, from mapping and geovisualization to spatial autocorrelation analysis, multivariate exploratory data analysis, and finally confirmatory spatial regression analysis. Although the implementation described in this article is a closed-source package, an ongoing research effort is porting the code to an open-source toolkit and making the package available to multiple platforms