Supporting visual analysis of federal geospatial statistics

Alan Maceachren, Frank Hardisty, Xiping Dai, Linda Williams Pickle

Research output: Contribution to journalReview article

12 Citations (Scopus)

Abstract

The efforts toward linking of Federal government agencies' statistical data through common geospatial referencing are discussed. Research is focused on human-centered design and implementation of component-based tools that help agency analysts to identify errors, anomalies, clusters and possible multivariate relationships. Specific aim in the digital government research has been to develop and assess components that support highly interactive visual data analysis. Effective data analysis components have been developed integrating them into applications to assess usefulness and usability of those applications.

Original languageEnglish (US)
Pages (from-to)59-60
Number of pages2
JournalCommunications of the ACM
Volume46
Issue number1
DOIs
StatePublished - Jan 1 2003

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Maceachren, Alan ; Hardisty, Frank ; Dai, Xiping ; Pickle, Linda Williams. / Supporting visual analysis of federal geospatial statistics. In: Communications of the ACM. 2003 ; Vol. 46, No. 1. pp. 59-60.
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Supporting visual analysis of federal geospatial statistics. / Maceachren, Alan; Hardisty, Frank; Dai, Xiping; Pickle, Linda Williams.

In: Communications of the ACM, Vol. 46, No. 1, 01.01.2003, p. 59-60.

Research output: Contribution to journalReview article

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AU - Dai, Xiping

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