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Compstat pp 105–119Cite as

Some Dynamic Graphics for Spatial Data (with Multiple Attributes) in a GIS

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Abstract

This paper discusses some multivariate exploratory spatial data analysis tools for detecting spatial dependence. The ideas explored are related to canonical correlation analysis and the graphical tools are related to the dynamic method called the grand tour. The work is implemented with a link between a Geographic Information System, ARC/INFOTM, and software for exploring multivariate data, XGobi.

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Author information

Authors and Affiliations

  1. Department of Statistics, Iowa State University, USA

    Dianne Cook, Noel Cressie, James Majure & Jürgen Symanzik

Authors
  1. Dianne Cook
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  2. Noel Cressie
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  3. James Majure
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  4. Jürgen Symanzik
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Editor information

Editors and Affiliations

  1. Department for Statistics and Probability Theory, University of Technology Vienna, Wiedner Hauptstraße 8-10, A-1040, Vienna, Austria

    Rudolf Dutter

  2. Department of Statistics, OR and Computer Science, University Vienna, Universitätsstraße 5, A-1010, Vienna, Austria

    Wilfried Grossmann

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© 1994 Springer-Verlag Berlin Heidelberg

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Cook, D., Cressie, N., Majure, J., Symanzik, J. (1994). Some Dynamic Graphics for Spatial Data (with Multiple Attributes) in a GIS. In: Dutter, R., Grossmann, W. (eds) Compstat. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-52463-9_11

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  • DOI: https://doi.org/10.1007/978-3-642-52463-9_11

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-0793-6

  • Online ISBN: 978-3-642-52463-9

  • eBook Packages: Springer Book Archive

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