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13th AGILE International Conference on Geographic Information Science 2010 Guimarães, Portugal Page 1 of 10 Three-dimensional Visualization, Interactive Analysis and Contextual Mapping of Space-time Cancer Data Pierre Goovaerts (BioMedware, Inc) INTRODUCTION The increase in computational power and storage capacity of computers, combined with the growing availability of geocoded data, has increased dramatically the amount of information processed in health studies, making it difficult to understand, to explore, and to discover interesting patterns within the data.. CONTEXTUALIZATION OF CANCER BURDEN Regardless the dimensionality of the presentation space (2D vs 3D), it is important to keep in mind that mapping cancer risk is typically a preliminary step towards further analysis that might highlight areas where causative exposures change through geographic space, the presence of local populations with distinct cancer incidences, or the impact of different cancer control methods.. 13th AGILE International Conference on Geographic Information Science 2010 Guimarães, Portugal Page 7 of 10 Figure 7: Linked views versus three-dimensional display to explore changes in lung cancer mortality rates over 45 years across the continental United States (data aggregated at State Economic Areas level).. 13th AGILE International Conference on Geographic Information Science 2010 Guimarães, Portugal Page 8 of 10 Figure 8: Visualizing monthly health data by means of 3D icons on a map: (a) Pencil icons representing cases of 6 diseases, some diseases show a certain pattern over time (b) Helix icons clearly reveal the cyclic characteristic of 2 selected diseases.. In their recent paper, Beyer and Rushton (2009) listed the following issues: the tension between community involvement and health data confidentiality constraints, the structure of partnerships, the role of GIS, the potential for community-generated data and incorporation of local knowledge of “place,” the potential for use of i
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