Spatial Intelligence for Regional Analysis

Chenfeng Zhang, S. Bao, Bing She, Xinyan Zhu, Xu Zhang
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引用次数: 4

Abstract

With the announcement of open information policy by the Chinese government, there has been lots of development in government statistics, Census data, and GIS data. That information provides rich reference for regional analysis in China. The primary challenges under rapid data growth include how to efficiently integrate those space-time data, provide methodology for different research targets, and promote their applications in different fields. This report will present some recent developments of spatial intelligence technologies for spatial data integration, data analysis, as well as their applications. The report will introduce the newly developed spatial explorer (China Geo-Explorer) as a joint effort by the University of Michigan China Data Center and Wuhan University. It will demonstrate how space-time data of different formats and sources can be integrated, visualized, analyzed and reported in a web based system. Some applications in disaster assessment, environment and health, cultural and religious studies will be discussed for China and global studies.
用于区域分析的空间情报
随着中国政府信息公开政策的出台,政府统计数据、人口普查数据和地理信息系统数据都有了很大的发展。这些信息为中国的区域分析提供了丰富的参考。在数据快速增长的背景下,如何有效地整合这些时空数据,为不同的研究目标提供方法,并促进其在不同领域的应用是主要的挑战。本报告将介绍空间数据集成、数据分析等空间智能技术的最新发展及其应用。该报告将介绍密歇根大学中国数据中心和武汉大学共同开发的新空间探测器(中国地理探测器)。它将演示如何在基于web的系统中集成、可视化、分析和报告不同格式和来源的时空数据。将讨论在灾害评估、环境与健康、文化和宗教研究中的一些应用,以供中国和全球研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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