Spatio-temporal statistical methods in environmental and biometrical problems
Impacto
Scholar |
Otros documentos de la autoría: Mateu, Jorge; Crujeiras Casais, Rosa María; Menezes, Raquel; Montes, F.
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https://doi.org/10.1016/j.spasta.2017.11.008 |
Metadatos
Título
Spatio-temporal statistical methods in environmental and biometrical problemsFecha de publicación
2017Editor
ElsevierISSN
2211-6753Cita bibliográfica
MATEU, Jorge, et al. Spatio-temporal statistical methods in environmental and biometrical problems, 2017Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.sciencedirect.com/science/article/pii/S2211675317303081Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
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, 2017Derechos de acceso
© 2017 Published by Elsevier B.V.
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