GeoVisual Analytics of health data using server side approach

GeoVisual Analytics can enable a user to explore multivariate multi-temporal health datasets, to understand spatial distribution of diseases especially in relation to external factors that may influence the outbreaks. External data are presently distributed using geo web services. Web services are used in health mainly to present results leading to a supplier driven service model limiting the exploration of health data. In this paper we illustrate server side approach of designing GeoVisual Analytics environment that allow user driven exploratory analysis. The server side combines a data query, processing technique and styling methodology to rapidly visually summarise properties of a dataset. We illustrate this functionality on a typical analytical workflow used by a health researcher and demonstrate analytical functionality in cases where consistent classification and styling scheme is needed across dynamically aggregated multivariate multi-temporal datasets. And since framework builds on the existing OGC web mapping standards, it integrates the existing geo web services as well as standalone non-spatial database servers such as health data repositories.