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dc.contributor.authorMateu, Jorge
dc.contributor.authorCrujeiras Casais, Rosa María
dc.contributor.authorMenezes, Raquel
dc.contributor.authorMontes, F.
dc.date.accessioned2018-05-07T19:02:02Z
dc.date.available2018-05-07T19:02:02Z
dc.date.issued2017
dc.identifier.citationMATEU, Jorge, et al. Spatio-temporal statistical methods in environmental and biometrical problems, 2017ca_CA
dc.identifier.issn2211-6753
dc.identifier.urihttp://hdl.handle.net/10234/174540
dc.description.abstractThis is the editorial letter for the Special Issue dedicated to the VIII International Workshop on Spatio-temporal Modelling (METMAVIII) which took place in Valencia (Spain) from 1 to 3 June 2016, and to the second Galician-Portuguese meeting of Biometry, with applications to Health Sciences, Ecology and Environmental Sciences (BIOAPP2016) held in Santiago de Compostela (Spain), 30–2 July 2016. This special issue summarises and discusses selected peer-reviewed contributions related to spatial and spatio-temporal statistical methodologies comprising both new methodological approaches and a wide range of applications related to environmental and biometrical problems. Point processes, lattice data and geostatistical methods are covered. These methods are illustrated with statistical analyses of animal or plant species in ecological studies, seismic data, temperatures and monthly precipitation, daily ozone concentration values, air pollution data, breast cancer incidence rates, mussels, wildfires, pore structures in pharmaceutical coatings, hake recruitment and cancer mortality data.ca_CA
dc.format.extent6 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherElsevierca_CA
dc.relation.isPartOfSpatio-temporal statistical methods in environmental and biometrical problems, 2017ca_CA
dc.rights© 2017 Published by Elsevier B.V.ca_CA
dc.subjectbiomedical dataca_CA
dc.subjectecological dataca_CA
dc.subjectenvironmental applicationsca_CA
dc.subjecthake recruitmentsca_CA
dc.subjectpore structuresca_CA
dc.subjectseismic dataca_CA
dc.titleSpatio-temporal statistical methods in environmental and biometrical problemsca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1016/j.spasta.2017.11.008
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttps://www.sciencedirect.com/science/article/pii/S2211675317303081ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA


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