Resolution control for balancing overview and detail in multivariate spatial analysis

Research output: Contribution to journalReview article

4 Citations (Scopus)

Abstract

Parallel coordinates, re-orderable matrices, and dendrograms, widely used methods for visual exploration of multivariate data, are systematically integrated in a complementary manner for supporting multi-resolution visual data analysis with an enhanced overview + detail exploratory strategy. There are three main topics: (1) dynamic control across resolutions at which data are explored; (2) coordination and color mapping among the views; and (3) enhanced features of each view designed for the overview + detail exploratory tasks. A case study analysis is used to demonstrate the potential for boosting productivity for exploration tasks by coordinating the views through user-controlled resolutions within a highly interactive analysis environment. The case study is focused on a complex, geographically referenced dataset including public health, demographic and environmental components.

Original languageEnglish (US)
Pages (from-to)261-273
Number of pages13
JournalCartographic Journal
Volume45
Issue number4
DOIs
StatePublished - Dec 1 2008

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spatial analysis
public health
productivity
matrix
analysis

All Science Journal Classification (ASJC) codes

  • Earth-Surface Processes

Cite this

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title = "Resolution control for balancing overview and detail in multivariate spatial analysis",
abstract = "Parallel coordinates, re-orderable matrices, and dendrograms, widely used methods for visual exploration of multivariate data, are systematically integrated in a complementary manner for supporting multi-resolution visual data analysis with an enhanced overview + detail exploratory strategy. There are three main topics: (1) dynamic control across resolutions at which data are explored; (2) coordination and color mapping among the views; and (3) enhanced features of each view designed for the overview + detail exploratory tasks. A case study analysis is used to demonstrate the potential for boosting productivity for exploration tasks by coordinating the views through user-controlled resolutions within a highly interactive analysis environment. The case study is focused on a complex, geographically referenced dataset including public health, demographic and environmental components.",
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Resolution control for balancing overview and detail in multivariate spatial analysis. / Chen, Jin; MacEachren, Alan M.

In: Cartographic Journal, Vol. 45, No. 4, 01.12.2008, p. 261-273.

Research output: Contribution to journalReview article

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T1 - Resolution control for balancing overview and detail in multivariate spatial analysis

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