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dc.contributor.authorTurdukulov, Ulanbek
dc.contributor.authorMoncrieff, Simon
dc.date.accessioned2017-01-30T12:53:07Z
dc.date.available2017-01-30T12:53:07Z
dc.date.created2016-09-06T19:30:19Z
dc.date.issued2016
dc.identifier.citationTurdukulov, U. and Moncrieff, S. 2016. Enabling geovisual analytics of health data using a server-side approach. Cartography and Geographic Information Science. 43 (1): pp. 16-29.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/26366
dc.identifier.doi10.1080/15230406.2015.1065762
dc.description.abstract

© 2015 Cartography and Geographic Information Society. Geovisual analytics can enable a user to explore multivariate spatio-temporal health datasets and to understand spatial distribution of diseases especially in relation to external factors that may influence 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 a geovisual analytics environment that allows user-driven geovisual analytics. The server-side combines a data query, processing technique, and styling methodology to rapidly visually summarize properties of a dataset. We illustrate this functionality on a typical workflow used by a health researcher and demonstrate analytical functionality in cases where a consistent classification and styling scheme is needed across dynamically aggregated multivariate spatio-temporal datasets. Since the framework builds on the existing Open Geospatial Consortium web mapping standards, it integrates the existing geo web services as well as stand-alone health data repositories into an infrastructure that allows combination and interactive exploration of these heterogeneous datasets in a visual environment.

dc.publisherTaylor and Francis Inc.
dc.titleEnabling geovisual analytics of health data using a server-side approach
dc.typeJournal Article
dcterms.source.volume43
dcterms.source.number1
dcterms.source.startPage16
dcterms.source.endPage29
dcterms.source.issn1523-0406
dcterms.source.titleCartography and Geographic Information Science
curtin.departmentDepartment of Spatial Sciences
curtin.accessStatusFulltext not available


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