Daniel C Cliburn and Johannes J Feddema and James R Miller and Terry A Slocumb.
Design and Evaluation of a Decision Support System in a Water Balance Application.
In Computers & Graphics, vol. 26, no. 6, pp. 931--949, 2002.

Links:

Abstract:

Visualization has become a vital tool for representing the results of scientific models in decision support applications. Both the raw data and the models from which these visualizations are derived usually have considerable uncertainty associated with them. Decision-makers are typically presented with results from these models with little or no insight as to the reliability of the information shown. For effective decisions to be made, a decision support system should allow collaborative participation from scientists and decision-makers, and it should display the locations, magnitudes, and sources of uncertainty in the results. This research work discusses a software application for visualizing the results of a water balance model and its associated uncertainty. The effectiveness of the application and its visual presentation methods were incrementally tested and improved through usability engineering principles.

Bibtex:

@Article{        cliburn:2002:DAED,
  author = 	 {Daniel C Cliburn and Johannes J Feddema and James R Miller and Terry A Slocumb},
  title = 	 {Design and Evaluation of a Decision Support System in a Water Balance Application},
  journal = 	 {Computers \& Graphics},
  year = 	 {2002},
  volume = 	 {26},
  number = 	 {6},
  pages = 	 {931--949},
  month = 	 {December},
}

Images:

References:

B McCormick, T DeFanti, M Brown Visualization in scientific computing Computer Graphics,, 21 (6) (1987), pp. 1-14
T Slocum Thematic cartography and visualizationPrentice-Hall, Upper Saddle River, NJ (1999)
Intergovernmental Panel on Climate Change website, 2001. http://www.ipcc.ch
N Gershon Visualization of an Imperfect World IEEE Computer Graphics and Applications,, 8 (4) (1998), pp. 43-45
J Nielsen Usability engineeringMorgan Kaufmann, San Diego, CA (1993)
D Mayhew The usability engineering lifecycleMorgan Kaufmann, San Diego, CA (1999)
L Constantine, L Lockwood Software for useAddison-Wesley, New York (2000)
C Thornthwaite An approach to a rational classification of climate Geography Revue, 38 (1) (1948), pp. 55-94
J Mather The climatic water budget in environmental analysisLexington Books, Lexington, MA (1978)
J Feddema Estimated impacts of soil degradation on the African water balance and climate Climate Research, 10 (1998), pp. 127-141
J Feddema Future African Water resourcesinteractions between soil degradation and global warming Climate Change, 42 (1999), pp. 561-569
D Legates, C.J Willmott Mean seasonal and spatial variability global surface air temperature Theoretical and Applied Climatology, 41 (1990), pp. 11-21
C Willmott, K Matsuura Smart interpolation of annually averaged air temperature in the united states Journal of Applied Meteorology, 34 (1995), pp. 2577-2586
M New, M Hulme, P Jones Representing twentieth-century space-time climate variability. Part Idevelopment of a 1961-90 mean monthly terrestrial climatology Journal of Climate, 12 (3) (1999), pp. 829-856
Willmott C, Matsuura K, Legates D. Global air temperature and precipitation: regridded monthly and annual climatologies, http://climate.geog.udel.edu/climate/html_pages/README.lw.html
D Legates, C.J Willmott Mean seasonal and spatial variability in gauge-corrected, global precipitation International Journal of Climatology, 10 (1990), pp. 111-127
K Dunne, C Willmott Global distribution of plant-extractable water capacity of soil International Journal of Climatology,, 16 (1996), pp. 841-859
W Hamon Estimating potential evapotranspiration Journal of the Hydraulics Division: Proceedings of the American Society of Civil Engineers,, 87 (HY 3) (1961), pp. 107-120
Climate Change, 1995. Impacts, adaptations and mitigation of climate change: scientific-technical analysis. Cambridge: Intergovernmental Panel on Climate Change (IPCC), Cambridge University Press, 1996.
S.M Robeson A spatial resampling perspective on the depiction of global air temperature anomalies Bulletin of the American Meteorological Society,, 76 (1995), pp. 1179-1183
OpenGL Architectural Review Board. OpenGL Programming Guide. Reading, MA: Addison-Wesley, 1993.
OpenGL Multipipe SDK, http://www.sgi.com/software/multipipe/sdk/index.html
C Brewer Guidelines for selecting colors for diverging color schemes on maps Cartographic Journal, 33 (2) (1996), pp. 79-86
MacEachren A, Visualizing uncertain information. Cartographic Perspective 1992;(13):10-19.
A Pang, C Wittenbrink, S Lodha Approaches to uncertainty visualization The Visual Computer,, 13 (8) (1997), pp. 370-390
Byron J, Spectral encoding of soil texture: a new visualization method. GIS/LIS Proceedings, Phoenix, AZ, 1994. p. 125-32.
C Brewer Color use guidelines for mapping and visualization A MacEachren, D Taylor (Eds.), Visualization in modern cartography, Pergamon, Oxford (1994), pp. 123-147
D Dorling Map design for census mapping Cartographic Journal, 30 (2) (1993), pp. 167-183
B Evans Dynamic display of spatial data-reliabilitydoes it benefit the user Computers & Geosciences,, 23 (4) (1997), pp. 409-422
M Leitner, B Buttenfield Guidelines for the display of attribute certainty Cartography and Geographic Information Systems,, 27 (1) (2000), pp. 3-14
J Gabbard, D Hix, J Swan User-centered design and evaluation of virtual environments IEEE Computer Graphics and Applications, 19 (6) (1999), pp. 51-59
Brewer I, MacEachren A, Abdo H, Gundrum J, Otto G, Collaborative geographic visualization: enabling shared understanding of environmental processes. IEEE Information Visualization Symposium, Salt Lake City, UT, 2000. p. 137-41.
Brewer I. The Design, Implementation of Temporal and Attribute Query Tools for Geovisualization. The Association of American Geographers, Annual Meeting, New York, NY, 2001.