Quantitative Methods in Environmental and Climate Research

✍ Scribed by Michela Cameletti, Francesco Finazzi

• Publisher: Springer International Publishing
• Year: 2018
• Tongue: English
• Leaves: 141
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-vii
Fast Bayesian Classification for Disease Mapping and the Detection of Disease Clusters (V. Gómez-Rubio, John Molitor, Paula Moraga)....Pages 1-27
A Novel Hierarchical Multinomial Approach to Modeling Age-Specific Harvest Data (Khurram Nadeem, Entao Chen, Ying Zhang)....Pages 29-48
Detection of Change Points in Spatiotemporal Data in the Presence of Outliers and Heavy-Tailed Observations (Bin Sun, Yuehua Wu)....Pages 49-62
Modeling Spatiotemporal Mismatch for Aerosol Profiles (Ilia Negri, Alessandro Fassò, Lucia Mona, Nikolaos Papagiannopoulos, Fabio Madonna)....Pages 63-83
A Spatiotemporal Approach for Predicting Wind Speed Along the Coast of Valparaiso, Chile (Orietta Nicolis, Mailiu Díaz, Omar Cuevas)....Pages 85-98
Spatiotemporal Precipitation Variability Modeling in the Blue Nile Basin: 1998–2016 (Yasmine M. Abdelfattah, Abdel H. El-Shaarawi, Hala Abou-Ali)....Pages 99-120
A Hidden Markov Random Field with Copula-Based Emission Distributions for the Analysis of Spatial Cylindrical Data (Francesco Lagona)....Pages 121-136

✦ Subjects

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