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dc.creatorKilibarda, Milan
dc.creatorTadić-Percec, Melita
dc.creatorHengl, Tomislav
dc.creatorLuković, Jelena
dc.creatorBajat, Branislav
dc.date.accessioned2019-04-19T14:23:56Z
dc.date.available2019-04-19T14:23:56Z
dc.date.issued2015
dc.identifier.issn2211-6753
dc.identifier.urihttp://grafar.grf.bg.ac.rs/handle/123456789/695
dc.description.abstractThis article highlights the results of an assessment of representation and usability of global temperature station data for global spatio-temporal analysis. Datasets from the Global Surface Summary of Day (GSOD) and the European Climate Assessment & Dataset (ECA&D) were merged and consisted of 10,695 global stations for the year 2011. Three aspects of data quality were considered: (a) representation in the geographical domain, (b) representation in the feature space (based on the MaxEnt method), anden
dc.publisherElsevier
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/43007/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/47014/RS//
dc.relationCroatian Science Foundation 2831
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/36035/RS//
dc.rightsrestrictedAccess
dc.sourceSpatial Statistics
dc.subjectGSODen
dc.subjectMaxEnten
dc.subjectMODIS LSTen
dc.subjectSpatio-temporal analysisen
dc.subjectDaily temperature interpolationen
dc.subjectGlobal space-time kriging modelen
dc.titleGlobal geographic and feature space coverage of temperature data in the context of spatio-temporal interpolationen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage38
dc.citation.other14: 22-38
dc.citation.rankM21
dc.citation.spage22
dc.citation.volume14
dc.identifier.doi10.1016/j.spasta.2015.04.005
dc.identifier.rcubconv_1779
dc.identifier.scopus2-s2.0-84947862977
dc.identifier.wos000368912700003
dc.type.versionpublishedVersion


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