Glyph-maps for visually exploring temporal patterns in climate data and models

Environmetrics

Volumn 23, Issue 5, 2012, Pages 382-393

  Wickham, Hadley ^a   Hofmann, Heike ^b   Wickham, Charlotte ^c   Cook, Dianne ^b  

^a Rice University   (United States)

^b Department of Statistics Center for Statistics and Applications in Forensic Evidence Iowa State University 2438 Osborn Dr Ames   (United States)

^c OREGON STATE UNIVERSITY   (United States)

Author keywords

Data mining; Exploratory data analysis; Spatiotemporal data; Statistical graphics; Visualization

Indexed keywords

CLIMATE CHANGE; CLIMATE MODELING; DATA INTERPRETATION; DATA MINING; DATA SET; GRAPHICAL METHOD; MAP; MULTIVARIATE ANALYSIS; SPATIOTEMPORAL ANALYSIS; VISUALIZATION;

EID: 84868625998     PISSN: 11804009     EISSN: 1099095X     Source Type: Journal    
DOI: 10.1002/env.2152     Document Type: Article

References (37)

1. Anderson E. 1960. A semigraphical method for the analysis of complex problems. Technometrics 2(3): 387-391.
2. Busey T. 2011. Change blindness. http://cognitrn.psych.indiana.edu/CogsciSoftware/ChangeBlindness/.
3. Carr DB, Olsen AR, White D. 1992. Hexagon mosaic maps for display of univariate and bivariate geographical data. Cartography and Geographic Information Systems 19(4): 228-236.
4. Chernoff H. 1973. The use of faces to represent points in k-dimensional space graphically. Journal of the American Statistical Association 68(342): 361-368.
5. Cleveland WS. 1993. A model for studying display methods of statistical graphics. Journal of Computational and Graphical Statistics 2: 323-364. http://stat.bell-labs.com/doc/93.4.ps.
6. Cleveland WS, McGill R. 1984. Graphical perception: theory, experimentation and application to the development of graphical methods. Journal of the American Statistical Association 79(387): 531-554.
7. Cook D, Buja A. 1997. Manual controls for high-dimensional data projections. Journal of Computational and Graphical Statistics 6(4): 464-480. http://www.public.iastate.edu/~dicook/research/papers/manip.html.
8. Earth System Research Laboratory, Physical Sciences Division, National Oceanic and Atmospheric Administration. 2011. Monthly temperature anomaly. http://www.esrl.noaa.gov/psd/.
9. Eden SK, An AQ, Horner J, Jenkins CA, Scott TA. 2010. A two-step process for graphically summarizing spatial temporal multivariate data in two dimensions. Computational Statistics 25(4): 587-601.
10. Fotheringham AS, Wong DWS. 1991. The modifiable areal unit problem in multivariate statistical analysis. Environment and Planning A 23(7): 1025-1044.
11. Friendly M, Denis DJ. 2001. Milestones in the history of thematic cartography, statistical graphics, and data visualization. http://www.datavis.ca/milestones/.
12. Gribov A, Unwin A, Hofmann H. 2006. Tools for multivariate data exploration. ASA Statistical Computing and Graphics Newsletter 17(2): 18-21.
13. Healey CG. 2011. Perception in visualization. http://www.csc.ncsu.edu/faculty/healey/PP/index.html.
14. Healey CG, Enns JT. 2011. Attention and visual memory in visualization and computer graphics. IEEE Transactions on Visualization and Computer Graphics 17(7): 1056-1063.
15. Hobbs J, Wickham H, Hofmann H, Cook D. 2010. Glaciers melt as mountains warm: a graphical case study. Computational Statistics 25(4): 569-586.
16. Hurley CB, Oldford RW. 2010. Pairwise display of high-dimensional information via Eulerian tours and Hamiltonian decompositions. Journal of Computational and Graphical Statistics 19(4): 861-886.
17. Kleiner B, Hartigan JA. 1981. Representing points in many dimensions by trees and castles. Journal of the American Statistical Association 76(374): 260-269.
18. Krzywinksi M. 2012. Limits of human visual acuity and consequences on sequence visualization. http://mkweb.bcgsc.ca/images/resolution/visualacuity-sequence-visualization.pdf.
19. Krzywinksi M. 2012. Designing effective visualizations in the biological sciences. http://mkweb.bcgsc.ca/psa/designing.effective.visualizations.biology.pdf.
20. Lawrence M, Sarkar D. 2012. qtbase: Interface between R and Qt. http://bioconductor.org/packages/devel/bioc/html/qtbase.html.
21. Lawrence M, Sarkar D. 2012. qtpaint: qt-based painting infrastructure. http://bioconductor.org/packages/devel/bioc/html/qtpaint.html.
22. Lawrence M, Wickham H. 2012. plumbr: mutable and dynamic data models. https://github.com/ggobi/plumbr/wiki.
23. Murrell P. 2010. The 2006 data expo of the american statistical association. Computational Statistics 25: 551-554.
24. National Oceanic and Atmospheric Administration, National Climatic Data Center. 2011. US historical climatology network. http://cdiac.ornl.gov/ftp/ushcn_ v2_monthly/.
25. Openshaw S. 1984. The Modifiable Areal Unit Problem, Number 38 in Concepts and Techniques in Modern Geography. Geo Books: Norwich.
26. Pickett RM, Grinstein GG. 1988. Iconographics displays for visualizing multidimensional data. In Proc. IEEE Conference on Systems, Man, and Cybernetics: Beijing and Shenyang China; 514-519.
27. R Development Core Team. 2011. R: A language and Environment for Statistical Computing. R Foundation for Statistical Computing: Vienna, Austria. http://www.R-project.org/. ISBN 3-900051-07-0.
28. Simons DJ, Franconeri SL, Reimer RL. 2000. Change blindness in the absence of a visual disruption. Perception 29: 1143-1154.
29. Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds). 2007. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press: Cambridge, UK.
30. Swayne DF, Temple Lang D, Buja A, Cook D. 2003. GGobi: evolving from XGobi into an extensible framework for interactive data visualization. Computational Statistics & Data Analysis 43: 423-444.
31. Trenberth KE. 1997. The definition of El Niño. Bulletin of the American Meterological Society 78(12): 2771-2777.
32. Tufte ER. 2001. The Visual Display of Quantitative Information (Second Edition). Graphics Press: Cheshire, CT.
33. von Mayr G. 1877. Die Gesetzmässigkeit im Gesellschaftsleben: Oldenbourg.
34. Wickham H. 2009. ggplot2: Elegant Graphics for Data Analysis, useR. Springer: New York.
35. Wickham H. 2011. The split-apply-combine strategy for data analysis. Journal of Statistical Software 40(1): 1-29. http://www.jstatsoft.org/v40/i01/.
36. Wood S. 2006. Generalized Additive Models: An Introduction with R. Chapman & Hall/CRC: Boca Raton, FL.
37. Zöllner F. 1860. Ueber eine neue Art von Pseudoskopie und ihre Beziehungen zu den von Plateau und Oppel beschriebenen Bewegungsphänomenen. Annalen der Physik 186: 500-523, DOI: 10.1002/andp.18601860712.