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The core aim
that this research addressed was to develop, implement, assess,
and disseminate the next generation of cross-platform, visually-enabled
geospatial analysis methods and tools to support public health research
and policy directed to cancer etiology, surveillance, and control.
Specific attention was given to methods and tools that enable researchers
and analysts to explore and analyze geographic characteristics of
cancer incidence and mortality and their relationships to population
demographics, behavioral risk factors, and access to public health
resources. The core research was complemented in the final 18 months
of the project with a dissemination supplement to develop the Geovisual
EXplication Portal (G-EX Portal), a prototype web portal for
dissemination and collaboration.
Key results
from the research include:
- a comprehensive
understanding of the analytical process of those for whom the
methods and tools are being developed;
- advances
in geovisualization and spatial analysis methods and tools relevant
to cancer etiology, surveillance, and control - particularly focused
on the integration of visual, statistical, and computational methods
to support a systematic process of data exploration and analysis;
- new spatial
cluster detection techniques that will help cancer control analysts
rapidly identify possible clusters of cancer incidence or mortality;
- insights
on what makes such methods and tools both usable and useful in
the context of cancer data analysis, and on what the impediments
are to usability and utility;
- a framework
for developing robust, open source geovisualization and spatial
analysis software plus a suite of working software that we will
continue to disseminate and improve upon beyond this grant;
- an approach
to, and prototype for, a suite of Web 2.0 dissemination and collaboration
tools focused on building a community of knowledgeable geovisualization
and spatial analysis users;
- a growing
set of learning artifacts that are designed to help users apply
the methods and tools effectively.
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