Artículos relacionados a Quantitative Methods in Environmental and Climate Research

Quantitative Methods in Environmental and Climate Research - Tapa dura

 
9783030015831: Quantitative Methods in Environmental and Climate Research
Tapa dura
ISBN 10: 3030015831 ISBN 13: 9783030015831
Editorial: Springer, 2018

Sinopsis

This books presents some of the most recent and advanced statistical methods used to analyse environmental and climate data, and addresses the spatial and spatio-temporal dimensions of the phenomena studied, the multivariate complexity of the data, and the necessity of considering uncertainty sources and propagation. The topics covered include: detecting disease clusters, analysing harvest data, change point detection in ground-level ozone concentration, modelling atmospheric aerosol profiles, predicting wind speed, precipitation prediction and analysing spatial cylindrical data.

The volume presents revised versions of selected contributions submitted at the joint TIES-GRASPA 2017 Conference on Climate and Environment, which was held at the University of Bergamo, Italy. As it is chiefly intended for researchers working at the forefront of statistical research in environmental applications, readers should be familiar with the basic methods for analysing spatial and spatio-temporal data. 



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Acerca del autor

Michela Cameletti is an Associate Professor of Statistics at the Department of Management, Economics and Quantitative Methods, University of Bergamo, Italy.  Her research interests include spatial and spatio-temporal models for environmental applications and computational methods for Bayesian inference.

 

Francesco Finazzi is researcher in Statistics at the Department of Management, Information and Production Engineering, University of Bergamo, Italy. His research interests include spatio-temporal models, sensor networks and scientific software.

 


De la contraportada

This books presents some of the most recent and advanced statistical methods used to analyse environmental and climate data, and addresses the spatial and spatio-temporal dimensions of the phenomena studied, the multivariate complexity of the data, and the necessity of considering uncertainty sources and propagation. The topics covered include: detecting disease clusters, analysing harvest data, change point detection in ground-level ozone concentration, modelling atmospheric aerosol profiles, predicting wind speed, precipitation prediction and analysing spatial cylindrical data.

The volume presents revised versions of selected contributions submitted at the joint TIES-GRASPA 2017 Conference on Climate and Environment, which was held at the University of Bergamo, Italy. As it is chiefly intended for researchers working at the forefront of statistical research in environmental applications, readers should be familiar with the basic methods for analysing spatial and spatio-temporal data. 



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Editorial
Springer
Año de publicación
2018
Idioma
Inglés
ISBN 10 
3030015831
ISBN 13 
9783030015831
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
146
Editor
Finazzi Francesco, Cameletti Michela
Contacto del fabricante
Springer Nature Customer Service Center GmbH
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