Dynamic graphics in a GIS: Exploring and analyzing multivariate spatial data using linked software

Dianne Cook, James J. Majure, Jürgen Symanzik, Noel Cressie

Research output: Contribution to journalArticleResearchpeer-review

30 Citations (Scopus)

Abstract

Interactive and dynamic graphical methods provide powerful tools to interface a data analyst with data. For multivariate data, interactive techniques such as linked brushing and identification allow an analyst to query the data, isolate or mask subsets, and examine dependencies between many variables. Dynamic techniques such as the grand tour give the analyst a sense of the overall shape (clusters or nonlinearities) of the data. This paper reports on research into interactive and dynamic graphical methods applied to spatial data made available through a link between two software packages: ArcView 2.1™(a Geographic Information System), and XGobi (a dynamic graphics program for exploratory multivariate data analysis).

Original languageEnglish
Pages (from-to)467-480
Number of pages14
JournalComputational Statistics
Volume11
Issue number4
Publication statusPublished - 1 Dec 1996
Externally publishedYes

Keywords

  • Case profile plot
  • Geographic information systems
  • Grand tour
  • Linked brushing
  • Parallel coordinates
  • Remote sensing
  • Visualization

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