Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/14437
DC FieldValueLanguage
dc.contributor.authorKyriakidis, Phaedon-
dc.contributor.authorKavroudakis, Dimitris-
dc.contributor.authorKitsiou, Dimitra-
dc.date.accessioned2019-07-10T06:10:17Z-
dc.date.available2019-07-10T06:10:17Z-
dc.date.issued2014-01-01-
dc.identifier.citation15th Annual Conference of the International Association for Mathematical Geosciences - Frontiers of Mathematical Geosciences: New Approaches to Understand the Natural World, IAMG 2013, Madrid, Spain, 2 September 2013 through 6 September 2013en_US
dc.description15th Annual Conference of the International Association for Mathematical Geosciences - Frontiers of Mathematical Geosciences: New Approaches to Understand the Natural World, IAMG 2013en_US
dc.description.abstractGlobal and local (site specific) multivariate variogram and madogram measures of attribute spatial (dis)similarity are linked to multivariate extension of Geary's and Gini's indices of spatial association. These measures are then em ployed for elucidating spatiotemporal patterns in monthly sea surface temperatur and chlorophyll - a concentration data over the North Aegean Sea in Greece, derived respectively, from NOAA's Advanced Very High Resolution Radiometer (AVHRR sensor and NASA's Sea-Viewing Wide Field-of-view Sensor (SeaWiFS).en_US
dc.language.isoenen_US
dc.subjectAVHRRen_US
dc.subjectChlorophyll-aen_US
dc.subjectMultivariate Geary/Gini indexen_US
dc.subjectSea surface temperatureen_US
dc.subjectSeaWiFSen_US
dc.titleMultivariate variogram and madogram: Tools for quantifying diversity/dissimilarity in spatiotemporal dataen_US
dc.typeConference Papersen_US
dc.collaborationUniversity of Aegeanen_US
dc.collaborationUniversity of Californiaen_US
dc.subject.categoryCivil Engineeringen_US
dc.countryUnited Statesen_US
dc.countryGreeceen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceAnnual Conference of the International Association for Mathematical Geosciences - Frontiers of Mathematical Geosciences: New Approaches to Understand the Natural Worlden_US
dc.identifier.doi10.1007/978-3-642-32408-6_54en_US
dc.identifier.scopus2-s2.0-84938939938-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84938939938-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
cut.common.academicyear2013-2014en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.languageiso639-1en-
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-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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