Overview
- Provides an overview of some of the most recent and advanced statistical methods used to analyse climate and environmental data
- Describes fascinating research applications in the context of the environmental sciences
- Provides challenging and novel data sets involving complex spatio-temporal structures and obtained by various measuring instruments and models
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Table of contents (7 papers)
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Front Matter
Keywords
About this book
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.
Editors and Affiliations
About the editors
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.
Bibliographic Information
Book Title: Quantitative Methods in Environmental and Climate Research
Editors: Michela Cameletti, Francesco Finazzi
DOI: https://doi.org/10.1007/978-3-030-01584-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Hardcover ISBN: 978-3-030-01583-1Published: 31 December 2018
eBook ISBN: 978-3-030-01584-8Published: 30 December 2018
Edition Number: 1
Number of Pages: VII, 136
Number of Illustrations: 7 b/w illustrations, 23 illustrations in colour
Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Theoretical Ecology/Statistics, Climate Change, Statistical Theory and Methods, Climate Change/Climate Change Impacts, Monitoring/Environmental Analysis