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dc.contributor.authorJingxiong, Zhang-
dc.contributor.authorGoodchild, Michael F.-
dc.contributor.authorKyriakidis, Phaedon-
dc.contributor.authorXiong, Rao-
dc.date.accessioned2019-07-08T08:50:23Z-
dc.date.available2019-07-08T08:50:23Z-
dc.date.issued2006-10-28-
dc.identifier.citationGeoinformatics 2006: Geospatial Information Science, Wuhan, China, 28 October 2006 through 29 October 2006en_US
dc.identifier.isbn0819465291-
dc.identifier.isbn9780819465290-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/14384-
dc.descriptionProceedings of SPIE - The International Society for Optical Engineering, Volume 6420, 2006, Article number 64201Hen_US
dc.description.abstractDespite developments in error analysis for discrete objects and interval/ratio fields, there exist conceptual problems with the case of nominal fields. This paper seeks to consolidate a conceptual framework based on the discriminant space for categorical mapping and error modeling. The discriminant space is defined upon the essential properties and processes underlying occurrences of spatial classes, and lends itself to geostatistical analysis and modeling. The discriminant space furnishes consistency in categorical mapping by imposing class-conditional mean structures that are associated with discriminant or "environmental" variables in various statistical models, and facilitates physically interpretable and scale-dependent error modeling. Further research will focus on models and methods based on multi-dimensional discriminant space and at multiple scales.en_US
dc.language.isoenen_US
dc.subjectArea-class mapsen_US
dc.subjectDiscriminant spaceen_US
dc.subjectError modelsen_US
dc.subjectGeneralized linear modelsen_US
dc.subjectGeostatisticsen_US
dc.subjectStochastic simulationen_US
dc.titleCategorical mapping and error modeling based on the discriminant spaceen_US
dc.typeConference Papersen_US
dc.collaborationWuhan Universityen_US
dc.collaborationUniversity of Californiaen_US
dc.subject.categoryCivil Engineeringen_US
dc.countryChinaen_US
dc.countryUnited Statesen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceGeoinformatics 2006: Geospatial Information Scienceen_US
dc.identifier.doi10.1117/12.713283en_US
dc.identifier.scopus2-s2.0-33846842240en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/33846842240en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.relation.volume6420en
cut.common.academicyear2006-2007en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.cerifentitytypePublications-
item.openairetypeconferenceObject-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-4222-8567-
crisitem.author.parentorgFaculty of Engineering and Technology-
Εμφανίζεται στις συλλογές:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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