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Quantitative Methods in Environmental and Climate Research

Editors: Cameletti, Michela, Finazzi, Francesco (Eds.)

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  • 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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eBook $129.00
price for USA in USD (gross)
  • ISBN 978-3-030-01584-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-030-01583-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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. 



About the authors

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.

 


Table of contents (7 chapters)

Table of contents (7 chapters)
  • Fast Bayesian Classification for Disease Mapping and the Detection of Disease Clusters

    Pages 1-27

    Gómez-Rubio, V. (et al.)

  • A Novel Hierarchical Multinomial Approach to Modeling Age-Specific Harvest Data

    Pages 29-48

    Nadeem, Khurram (et al.)

  • Detection of Change Points in Spatiotemporal Data in the Presence of Outliers and Heavy-Tailed Observations

    Pages 49-62

    Sun, Bin (et al.)

  • Modeling Spatiotemporal Mismatch for Aerosol Profiles

    Pages 63-83

    Negri, Ilia (et al.)

  • A Spatiotemporal Approach for Predicting Wind Speed Along the Coast of Valparaiso, Chile

    Pages 85-98

    Nicolis, Orietta (et al.)

Buy this book

eBook $129.00
price for USA in USD (gross)
  • ISBN 978-3-030-01584-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-030-01583-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Quantitative Methods in Environmental and Climate Research
Editors
  • Michela Cameletti
  • Francesco Finazzi
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-01584-8
DOI
10.1007/978-3-030-01584-8
Hardcover ISBN
978-3-030-01583-1
Edition Number
1
Number of Pages
VII, 136
Number of Illustrations
7 b/w illustrations, 23 illustrations in colour
Topics