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Doctoral Thesis
DOI
https://doi.org/10.11606/T.96.2023.tde-04102023-094403
Document
Author
Full name
Fernanda Cristina Valente
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
Ribeirão Preto, 2023
Supervisor
Committee
Laurini, Marcio Poletti (President)
Moura, Guilherme Valle
Achcar, Jorge Alberto
Carvalho, Luiz Max Fagundes de
Júnior, Fernando Antônio de Barros
Nicolella, Alexandre Chibebe
Title in English
Essays in spatial statistics
Keywords in English
Climate events
COVID-19
Environmetrics
INLA
Log Gaussian Cox Process
Spatial point process
Abstract in English
This thesis is composed by eight self-contained papers in spatial statistics. Five papers are applications of statistical decomposition for spatio-temporal analysis of changes in climate-related events. The sixth paper is an application of statistical decomposition for climatic time series to analyze the existence of changes in rainfall and temperature patterns. The two final papers deal with statistical decomposition for spatio-temporal analysis of coronavirus disease in the national and global scales.
Title in Portuguese
Ensaios em estatística espacial
Keywords in Portuguese
Ambientometria
COVID 19
Eventos climáticos
Processo de Cox log-Gaussiano
Processo pontual espacial
Abstract in Portuguese
Esta tese é composta por oito artigos independentes em estatística espacial. Cinco artigos são aplicações de decomposição estatística para análises espaço-temporais de mudanças em eventos relacionados ao clima. O sexto artigo é uma aplicação de decomposição estatística para séries temporais climáticas para analisar a existência de mudanças nos padrões de chuva e temperatura. Os dois trabalhos finais tratam da decomposição estatística para análise espaço-temporal da doença do coronavírus em escalas nacional e global.
 
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Publishing Date
2023-11-21
 
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