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Spatial statistical analysis and geographic information systems

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Geographic Information Systems, Spatial Modelling and Policy Evaluation

Abstract

In this paper, we discuss a number of general issues that pertain to the interface between GIS and spatial analysis. In particular, we focus on the various paradigms for spatial data analysis that follow from the existence of this interface. We outline a series of questions that need to be confronted in the analysis of spatial data, and the extent to which a GIS can facilitate their resolution. We also review a number of exploratory and confirmatory techniques that we feel should form the core of a spatial analysis module for a GIS.

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Authors and Affiliations

  1. National Center for Geographic Information and Analysis (NCGIA), Department of Geography, University of California, Santa Barbara, CA, 93106, USA

    Luc Anselin

  2. Department of Economics, University of California, Santa Barbara, CA, 93106, USA

    Luc Anselin

  3. Department of Geography, San Diego State University, San Diego, CA, 92182, USA

    Arthur Getis

Authors
  1. Luc Anselin
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  2. Arthur Getis
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Editors and Affiliations

  1. Department of Economic and Social Geography, Vienna University of Economics and Business Administration, Augasse 2–6, A-1090, Vienna, Austria

    Manfred M. Fischer

  2. Department of Regional, Urban and Environmental Economics, Free University Amsterdam, De Boelelaan 1105, NL-1081 HV, Amsterdam, The Netherlands

    Peter Nijkamp

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© 1993 Springer-Verlag Berlin Heidelberg

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Anselin, L., Getis, A. (1993). Spatial statistical analysis and geographic information systems. In: Fischer, M.M., Nijkamp, P. (eds) Geographic Information Systems, Spatial Modelling and Policy Evaluation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77500-0_3

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  • DOI: https://doi.org/10.1007/978-3-642-77500-0_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-77502-4

  • Online ISBN: 978-3-642-77500-0

  • eBook Packages: Springer Book Archive

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