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The strategies of integrating spatial data analysis and GIS

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Abstract

The gap between SDA (Spatial Data Analysis) and GIS (Geographical Information Systems) existed for a long time. Presently this problem still remains in spite of a lot of theoretical and practical studies which try to find the solution for it. The research background and current situation about how to integrate SDA and GIS are introduced at first. The main idea of this article is to make sure what is the best scheme to bridge the gap between SDA and GIS and how to design it. There are a lot of factors to influence the standards to assess such a scheme, for instance, the attitude of users and GIS developers, the framework and related functions of current available GIS software in the market and so on. But the two most important ones of them are efficiency and flexibility of the scheme itself. Efficiency can be measured by the convenient extent and temporal length when it is used for carrying out SDA. Flexibility means users can define their own SDA methods. The best integration scheme should satisfy the two standards at the same time. A group of functions, which can be combined to implement any SDA method, are defined in order to design such an integration scheme. The functions are divided into five classes according to their properties.

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References

  • ABEL D J, KILBY P J, 1994. The system integration problem[J]. International Journal of Geographical Information Systems, 8(1): 1–12.

    Google Scholar 

  • BAILEY T C, GATRELL A C, 1995. Interactive Spatial Data Analysis[M]. Edinburgh (UK): Pearson Education Longman, 1–413.

    Google Scholar 

  • BARNES T J, 2001. Retheorizing economic geography: from the quantitative revolution to the “culture turn” [J]. Annals of the Associate of American Geographers, 91(3): 546–565.

    Article  Google Scholar 

  • BOOT B, 2000. Using GIS to promote spatial analysis[J]. Journal of Geographical Systems, 2(1): 17–21.

    Article  Google Scholar 

  • GETIS A, 2000. Spatial analysis and GIS: an introduction[J]. Journal of Geographical Systems, 2(1): 1–3.

    Article  Google Scholar 

  • GOODCHILD M F, 1987. A spatial analytical perspective on geographical information systems[J]. International Journal of Geographical Information Systems, 1(4): 327–334.

    Google Scholar 

  • GOODCHILD M F, HAINING R P, WISE S M, 1992. Integrating GIS and spatial data analysis: problems and possibilities [J]. International Journal of Geographical Information Systems, 6(5): 407–423.

    Google Scholar 

  • GOODCHILD M F, 2000. The current status of GIS and spatial analysis [J]. Journal of Geographical Systems, 2(1): 5–10.

    Article  Google Scholar 

  • GUO Ren-zhong, 1997. Spatial Analysis[M]. Wuhan: Wuhan University of Science and Technology of Geodesy, Photogrammetry and Cartography Press, 1–236. (in Chinese)

    Google Scholar 

  • LI De-ren, GUAN Ze-qun, 2000. Integration and Implementation of Spatial Information Systems[M]. Wuhan: Wuhan University of Science and Technology of Geodesy, Photogrammetry and Cartography Press, 1–244. (in Chinese)

    Google Scholar 

  • LIVINGSTONE D N, 1992. The Geographic Tradition: Episodes in the History of a Contested Enterprise[M]. Oxford (UK): Blackwell.

    Google Scholar 

  • MARBLE D F, 2000. Some thoughts on the integration of spatial analysis and Geographic Information Systems[J]. Journal of Geographical Systems, 2(1): 31–35.

    Article  Google Scholar 

  • UNGERER M J, GOODCHILD M F, 2002. Integrating spatial data analysis and GIS: a new implementation using the Component Object Model(COM)[J]. International Journal of Geographical Information Science, 16(1): 41–53.

    Article  Google Scholar 

  • XU Jian-hua, 1996. Mathematical Approaches in Modern Geography [M]. Beijing: Advanced Education Press, 1–278. (in Chinese)

    Google Scholar 

  • ZHANG Z and GRIFFITH D, 2000. Integrating GIS components and spatial statistical analysis in DBMSs[J]. International Journal of Geographical Information Science, 14(6): 543–566.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Resource & Environmental Engineering, Wuhan University, 430070, Wuhan, P. R. China

    Mao Zheng-yuan & Li Lin

  2. Department of Geography, Central China Normal University, 430079, Wuhan, P. R. China

    Mao Zheng-yuan

Authors
  1. Mao Zheng-yuan
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  2. Li Lin
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Additional information

Biography: MAO Zheng-yuan (1964 –), male, a native of Hunan Province, Ph. D. candidate at School of Resource & Environmental Engineering, Wuhan University, associate professor. His research interests focus on GIS and spatial analysis.

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Mao, Zy., Li, L. The strategies of integrating spatial data analysis and GIS. Chin. Geograph.Sc. 12, 233–237 (2002). https://doi.org/10.1007/s11769-002-0007-y

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  • DOI: https://doi.org/10.1007/s11769-002-0007-y

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