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dc.contributor.advisorLi, Xingong
dc.contributor.authorXu, Tingting
dc.date.accessioned2010-03-18T04:46:04Z
dc.date.available2010-03-18T04:46:04Z
dc.date.issued2009-12-11
dc.date.submitted2009
dc.identifier.otherhttp://dissertations.umi.com/ku:10662
dc.identifier.urihttp://hdl.handle.net/1808/5983
dc.description.abstractCartographic modeling (also known as map algebra) is a powerful set of operations for manipulating raster geographic data. Zonal operations are one type of cartographic modeling operations where the spatial scopes of the operations are defines by zones. The conventional zonal operations only work with raster data and lack the capability of performing spatiotemporal analysis. This research developed zonal operations for spatiotemporal analysis where spatiotemporal zones can be defined in the vector data model. The zonal operations were used to extract watershed hourly or daily precipitation for use in non-point source pollution models and to explore the effects of antecedent precipitation on water quality samples. The case studies demonstrated the usefulness of the operations. A software tool, NexTool was also developed to process and build NEXRDA precipitation database, which was used in the case studies.
dc.format.extent66 pages
dc.language.isoEN
dc.publisherUniversity of Kansas
dc.rightsThis item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
dc.subjectGeography
dc.subjectGeotechnology
dc.subjectCartographic modeling
dc.subjectGIS
dc.subjectNexrad
dc.subjectSpatiotemporal analysis
dc.subjectZonal operation
dc.titleVector Zonal Operations for Spatiotemporal Analysis
dc.typeThesis
dc.contributor.cmtememberEgbert, Stephen L.
dc.contributor.cmtememberSlocum, Terry A.
dc.thesis.degreeDisciplineGeography
dc.thesis.degreeLevelM.A.
kusw.oastatusna
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
kusw.bibid7079233
dc.rights.accessrightsopenAccess


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