Spatio-temporal statistical methods in environmental and biometrical problems
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Other documents of the author: Mateu, Jorge; Crujeiras Casais, Rosa María; Menezes, Raquel; Montes, F.
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
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https://doi.org/10.1016/j.spasta.2017.11.008 |
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Title
Spatio-temporal statistical methods in environmental and biometrical problemsDate
2017Publisher
ElsevierISSN
2211-6753Bibliographic citation
MATEU, Jorge, et al. Spatio-temporal statistical methods in environmental and biometrical problems, 2017Type
info:eu-repo/semantics/articlePublisher version
https://www.sciencedirect.com/science/article/pii/S2211675317303081Version
info:eu-repo/semantics/publishedVersionSubject
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 ... [+]
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. [-]
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Spatio-temporal statistical methods in environmental and biometrical problems, 2017Rights
© 2017 Published by Elsevier B.V.
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