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Volumn 21, Issue 8, 2007, Pages 879-893

Highlighting space-time patterns: Effective visual encodings for interactive decision-making

Author keywords

Data warehouse; Space time pattern; Visual data analysis

Indexed keywords

DATA SET; DATABASE; DECISION MAKING; DECISION SUPPORT SYSTEM; GIS; SPATIOTEMPORAL ANALYSIS; VISUALIZATION;

EID: 34347208310     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658810701362147     Document Type: Article
Times cited : (8)

References (20)
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  • 6
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    • Visual inquiry toolkit - An integrated approach for exploring and interpreting space-time, multivariate patterns
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    • Chen, J., MacEachren, A. M. and Guo, D. (2006) Visual inquiry toolkit - an integrated approach for exploring and interpreting space-time, multivariate patterns. In AutoCarto 2006, Vancouver, WA
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    • Chen, J.1    MacEachren, A.M.2    Guo, D.3
  • 8
    • 0042564503 scopus 로고    scopus 로고
    • Seeking structure in records of spatiotemporal behaviour: Visualization issues, efforts and applications
    • Dykes, J. A. and Mountain, D. M. (2003) Seeking structure in records of spatiotemporal behaviour: Visualization issues, efforts and applications. Computational Statistics &Data Analysis, 43, pp. 581-603.
    • (2003) Computational Statistics &Data Analysis , vol.43 , pp. 581-603
    • Dykes, J.A.1    Mountain, D.M.2
  • 12
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    • Visual data-mining techniques
    • Elsevier Science, Amsterdam
    • Keim, D. A., Sips, M. and Ankerst, M. (2004) Visual data-mining techniques. Visualization Handbook, pp. 813-825. Elsevier Science, Amsterdam
    • (2004) Visualization Handbook , pp. 813-825
    • Keim, D.A.1    Sips, M.2    Ankerst, M.3
  • 13
    • 0024918382 scopus 로고
    • Graphic scripts for the sequenced visualization of geographic data
    • ASPRS/ACSM, Falls Church, VA
    • Monmonier, M. (1989) Graphic scripts for the sequenced visualization of geographic data. GIS/LIS'89, pp. 381-389. ASPRS/ACSM, Falls Church, VA
    • (1989) GIS/LIS'89 , pp. 381-389
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  • 14
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    • A rank-by-feature framework for unsupervised multidimensional data exploration using low dimensional projections
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    • Seo, J. and Shneiderman, B. (2004) A rank-by-feature framework for unsupervised multidimensional data exploration using low dimensional projections. INFOVIS '04: Proceedings of the IEEE Symposium on Information Visualization (INFOVIS'04), pp. 65-72. IEEE Computer Society, Washington, DC
    • (2004) INFOVIS '04: Proceedings of the IEEE Symposium on Information Visualization (INFOVIS'04) , pp. 65-72
    • Seo, J.1    Shneiderman, B.2
  • 15
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    • Knowledge discovery in high-dimensional data: Case studies and a user survey for the rank-by-feature framework
    • Seo, J. and Shneiderman, B. (2006) Knowledge discovery in high-dimensional data: Case studies and a user survey for the rank-by-feature framework. IEEE Transactions on Visualization and Computer Graphics, 12, pp. 311-322.
    • (2006) IEEE Transactions on Visualization and Computer Graphics , vol.12 , pp. 311-322
    • Seo, J.1    Shneiderman, B.2
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    • Polaris: A system for query, analysis, and visualization of multidimensional relational databases
    • Stolte, C., Tang, D. and Hanrahan, P. (2002) Polaris: A system for query, analysis, and visualization of multidimensional relational databases. IEEE Transactions on Visualization and Computer Graphics, 8, pp. 52-65.
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    • Stolte, C.1    Tang, D.2    Hanrahan, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.