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Spatio-temporal statistical methods in environmental and biometrical problems
dc.contributor.author | Mateu, Jorge | |
dc.contributor.author | Crujeiras Casais, Rosa María | |
dc.contributor.author | Menezes, Raquel | |
dc.contributor.author | Montes, F. | |
dc.date.accessioned | 2018-05-07T19:02:02Z | |
dc.date.available | 2018-05-07T19:02:02Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | MATEU, Jorge, et al. Spatio-temporal statistical methods in environmental and biometrical problems, 2017 | ca_CA |
dc.identifier.issn | 2211-6753 | |
dc.identifier.uri | http://hdl.handle.net/10234/174540 | |
dc.description.abstract | This 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.extent | 6 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Elsevier | ca_CA |
dc.relation.isPartOf | Spatio-temporal statistical methods in environmental and biometrical problems, 2017 | ca_CA |
dc.rights | © 2017 Published by Elsevier B.V. | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | * |
dc.subject | biomedical data | ca_CA |
dc.subject | ecological data | ca_CA |
dc.subject | environmental applications | ca_CA |
dc.subject | hake recruitments | ca_CA |
dc.subject | pore structures | ca_CA |
dc.subject | seismic data | ca_CA |
dc.title | Spatio-temporal statistical methods in environmental and biometrical problems | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | https://doi.org/10.1016/j.spasta.2017.11.008 | |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | ca_CA |
dc.relation.publisherVersion | https://www.sciencedirect.com/science/article/pii/S2211675317303081 | ca_CA |
dc.type.version | info:eu-repo/semantics/publishedVersion | ca_CA |
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