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     Title, abstract, keywords:   Author:
     Geo-information Science , Pages 70-75
 

Consideration on GIS Spatial Analysis in Geospatial Data Processing
YANG Haijun,SHAO Quanqin

中国科学院地理科学与资源研究所资源环境数据中心,北京 100101

Abstract

As the core of managing spatial data in GIS, the field of spatial analysis in physical geography becomes broader and broader. In the geospatial data processing, GIS spatial analysis is the theoretic and technical basis for analyzing, simulating, predicting and regulating the spatial processes. The spatio-temporal data models for spatial analysis are the impotent means to analyse a series of regional or global geographical problems in geoscience, which bring new challenges and opportunities to physical geography. Viewing from the definition and application of spatial analysis, the author studies and explains definition and development trend of spatial analysis, and draws the following conclusion: Firstly, modern geography needs more and more spatial analysis technology while the field of spatial analysis in physical geography becomes broader. Secondly, the spatial analysis becomes a major technologic approach in the research of physical geography. The method of processing geospatial data must integrate with spatio-temporal model, data mining, visualization, and the relevance of factor in multidimensional information space. In the near future, the combination of spatial analysis technology and integrative research of physical geography not only widens the field of spatial analysis technology but also drives rapidly the development of Geo-information Sciences. In a word, the combination of spatial analysis and integrative research of physical geography has already been one of the most important trends in the development of both modern physical geography and geo-spatial information sciences.
Keywords: geospatial data; spatial analysis; geographical information system; physical geography

Corresponding Author Contact Information Corresponding author email:yanghj@lreis.ac.cn


2007 Institute of Geographic Sciences and Natural Resources Research, CAS.