2005 · 49 citations · 4 references
ComputingCommunity HealthVisualizationGeographic Information ScienceGeographic Information SystemsSpatial AnalysisGeospatial Data VisualizationGeospatial Health AnalysisGeospatial Health InformaticsGeovisual AnalyticsSpatial Data VisualizationVisual Analytics For Spatial DataCommunity Health Data AnalysisGeographic Information System (Gis) AnalysisGeospatial Health AnalyticsGeospatial Information VisualizationOlap VisualizationPublic Health MappingSpatial Health AnalyticsSpatial Health Data Analysis
Community health research has relied on disparate tools that lack the comprehensive analysis needed for effective public health evaluation, and the Spatial OLAP Visualization and Analysis Tool (SOVAT) is introduced as a new application that integrates many essential characteristics for community health assessments. By combining On‑Line Analytical Processing (OLAP) with Geospatial Information System (GIS) capabilities, SOVAT can handle large datasets, perform geospatial and statistical calculations, and display the results in both numerical and spatial views within a single interface. The authors anticipate that this unique system will enable researchers to conduct more comprehensive assessments and support more informed public health decisions.
Community health research is practiced with disparate independently used tools that by themselves do not allow for the type of comprehensive and thorough analysis needed for effective public health evaluation. The Spatial OLAP Visualization and Analysis Tool (SOVAT) is a new type of research application for community health assessments. SOVAT integrates into one system many of the necessary characteristics needed to make comprehensive community health decisions. By combining On-Line Analytical Processing (OLAP) with Geospatial Information System (GIS) capabilities, our system can handle large amounts of data, perform geospatial and statistical calculations, and then display this information in both a numerical and spatial view within the same interface. It is anticipated that this unique system will provide researchers with the ability to perform more comprehensive assessments while enabling for more informed public health decisions.
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