Dear colleague, Literature and industry express the need for a representation of uncertainty when utilizing spatial data in visualisations. Geographical Information Systems (GIS) form a model representation of the physical world allowing uncertainty to become predominant in three main areas: attribute collection, spatial location misrepresentation and temporal delay. It is possible to model uncertainty using statistical techniques, and then apply visualisation methods for representation. This PhD research looks at visualising attribute and spatial uncertainty for the common choropleth population map. A new internet survey has been created to assess an appropriate visual metaphor to represent uncertainty in choropleth maps designed to compliment previous <http://info-nts-05.otago.ac.nz/research/uncertainty/Metaphor/Survey.html> research. Please take 5 minutes of your time and follow the link below, complete the survey and help progress this important field of research.
Visualisation-of-Uncertainty Survey link <http://info-nts-12.otago.ac.nz/research/uncertainty/metaphor2> Julian Kardos PhD Student Spatial Information Research Centre (SIRC) Information Science University of Otago Dunedin New Zealand. Current Address: IAE Università Jean Moulin Lyon 3 6 cours Albert Thomas BP 8242 69365 Lyon Cedex 08 France.
