Visual data mining in atmospheric science data

Márcia Macêdo, Dianne Cook, Timothy J. Brown

Research output: Contribution to journalArticleResearchpeer-review

15 Citations (Scopus)


This paper discusses the use of simple visual tools to explore multivariate spatially-referenced data. It describes interactive approaches such as linked brushing, and dynamic methods such as the grand tour, applied to studying the Comprehensive Ocean-Atmosphere Data Set (COADS). This visual approach provides an alternative way to gain understanding of high-dimensional data. It also provides cross-validation and visual adjuncts to the more computationally intensive data mining techniques.

Original languageEnglish
Pages (from-to)69-80
Number of pages12
JournalData Mining and Knowledge Discovery
Issue number1
Publication statusPublished - 1 Dec 2000
Externally publishedYes


  • Exploratory data analysis
  • High-dimensional data
  • Interactive graphics
  • Linked brushing, grand tour
  • Multivariate analysis
  • Statistical graphics

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