Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13740
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dc.contributor.authorCheung, CKen_US
dc.contributor.authorShi, Wen_US
dc.contributor.authorZhou, Xen_US
dc.date.accessioned2014-12-19T07:09:22Z-
dc.date.available2014-12-19T07:09:22Z-
dc.date.issued2004-
dc.identifier.citationGeoInformatica, 2004, v. 8, no. 1, p. 71-98en_US
dc.identifier.issn1384-6175-
dc.identifier.urihttp://hdl.handle.net/10397/13740-
dc.description.abstractIn a geographical information system (GIS), a conventional point-in-polygon analysis is used to determine whether a point is located inside a polygon with a Boolean result. Due to positional uncertainties existing with both the point and the polygon, the Boolean answer cannot describe the relationship of closeness between the point and the polygon. This paper aims to develop a model and to provide a continuous index-the probability value-to indicate the extent of the uncertain point located inside the uncertain polygon based upon existing research development. This probability index is derived based on probability and statistical theories considering the statistical uncertainty distributions of the point and the polygon's vertices. The associated mathematical expressions for the probability index are addressed in cases depending on the intersection between the polygon and the error ellipse of the point. The proposed probability index can provide an objective description of the relationship of closeness between an uncertain point and an uncertain polygon.en_US
dc.description.sponsorshipDepartment of Land Surveying and Geo-Informaticsen_US
dc.language.isoenen_US
dc.relation.ispartofGeoInformaticaen_US
dc.subjectError propagationen_US
dc.subjectGISen_US
dc.subjectPoint-in-polygon analysisen_US
dc.subjectPositional uncertaintyen_US
dc.titleA probability-based uncertainty model for point-in-polygon analysis in GISen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage71-
dc.identifier.epage98-
dc.identifier.volume8-
dc.identifier.issue1-
dc.identifier.doi10.1023/B:GEIN.0000007725.41038.03-
dc.identifier.scopus2-s2.0-1142281003-
dc.identifier.rosgroupidr16623-
dc.description.ros2003-2004 > Academic research: refereed > Publication in refereed journal-
Appears in Collections:Journal/Magazine Article
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