Methods for the Visualization of Clustered Climate Data

Computational Statistics

Volumn 19, Issue 1, 2004, Pages 75-94

  Nocke, Thomas ^a   Schumann, Heidrun ^a   Böhm, Uwe ^b  

^a UNIVERSITY OF ROSTOCK   (Germany)

^b UNIVERSITY OF POTSDAM   (Germany)

Author keywords

Climate Impact Research; Cluster Analysis; Visualization

Indexed keywords

EID: 1542718388     PISSN: 09434062     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02915277     Document Type: Conference Paper

References (23)

1. Becker, R.A. & Cleveland, W.S. (1987) Brushing scatterplots, Technometrics 29, no, 2, 127-142.
2. Böhm, U. (1999) Eine Methode zur Validierung von Klimamodellen fr die Klimawirkungsforschung hinsichtlich der Wiedergabe extremer Ereignisse (in german), Dissertation, Freie Universitt Berlin, Fachbereich Geowissenschaften.
3. Bock, H.H. (1974) Automatische Klassifikation, Vandenhoeck & Ruprecht, Gttingen.
4. Brewer, C.A. (1999) Color Use Guidelines for Data Representation, Proceedings of the section on Statistical Graphics. American Statistical Association. Alexandria VA, pp. 55-60.
5. Bergman, L. D., Rogowitz, B. E. & Treinish, L. A. (1995) A Rule-based Tool for Assisting Colormap Selection, Visualization '95 (Atlanta), IEEE Computer Society Press, pp. 118-125, 444.
6. Cleveland, W. S. (1993) Visualizing Data, Resource Publications in Geography, Hobart Press.
7. Forgy, E. W. (1965) Cluster Analysis of Multivariate Data: Efficiency versus Interpretability of Classifications (abstract), In: Biometrics 21, 768.
8. Gerstengarbe, F.-W. & Werner, P.C. (1994) Klimatologische Untersuchungen des Sommers 1992 in Deutschland (in german), PIK-Report, no. 2, 125-174.
9. Gerstengarbe, F.-W. & Werner, P.C. (1999) The complete non-hierarchical cluster analysis, PIK-Report, no. 50, 768.
10. Gerstengarbe, F.-W., Werner, P.C. & Fraedrich, K. (1999) Applying nonhierarchical cluster analysis algorithms to climate classification: some problems and their solution, Intern. J. of Climatology 64, 143-150.
11. Havre, S., Hetzler, E., Whitney, P. & Nowell, L. (2002) Themeriver: Visualizing thematic changes in large document collections, ACM Transactions on Graphics 8, no. 1.
12. Han, J. & Kamber, M. (2000) Data Mining: Concepts and Techniques, 8 ed., The Morgan Kaufmann Series in Data Management Systems, Jim Gray, Series Editor Morgan Kaufmann Publishers.
13. Keim, D., Müller, W., & Schumann, H. (2002) Information Visualization and Visual Data Mining; State of the art report, Proceedings Eurographics 2002, Saarbrcken, Sept.
14. Kreuseler, M., Nocke, T. & Schumann, H. (2003) Integration of Clustering and Visualization Techniques for Visual Data Analysis, Proceedings of the 25th annual Conference of the German Classification Society'01; published in: O. Opitz, M. Schwaiger (editors): Exploratory Data Analysis in Empirical Research, Springer-Verlag, Heidelberg-Berlin, 119-132.
15. Kalvin, A.D., Pelah, A., Cohen, A. & Rogowitz, B.E. (2000) Building Perceptual Color Maps for Visualizing Interval data, Proceedings SPIE Conference on Human Vision and Electronic Imaging, San Jose, CA.
16. Kindlmann, G., Reingard, E. & Creem, S. (2002) Face-based Luminance Matching for Perceptual Colormap Generation, Proc. IEEE Information Visualization 2002, IEEE Press.
17. MacEachren, A. M. (1994) Some Truth With Maps: A Primer on Symbolization and Design, Resource Publications in Geography, Association of American Geographers.
18. Spence, R. (2001) Information visualization, Addison-Wesley, Harlow.
19. Tominski, C., Schulze-Wollgast, P. & Schumann, H. (2003) Visualisierung zeitlicher Verlufe auf geografischen Karten, Proceedings GeoVis'03, Hannover, Febr.
20. Unwin, A., Wills, G. & Haslett, J. (1990) REGARD - Graphical Analysis of Regional Data, '1990 Proceedings of the Section on Statistical Graphics', American Statistical Association, pp. 36-41.
21. van Wijk, J. J. & van Selow, E. R. (1999) Cluster and calendar based visual-ization of time series data, IEEE Symposium on Information Visualization'99, pp. 4-9.
22. Weber, M., Alexa, M. & Müller, W. (2001) Visualizing time-series on spirals, IEEE Symposium on Information Visualization '01, October, ISBN 0-7695-1342-5, pp. 21-28.
23. Westphal, C. & Blaxton, T. (1998) Data Mining Solutions - Methods and Tools for Solving Real-World Problems, 8 ed., John Wiley & Sons, Inc, New York.