Geostatistical Modelling With R

This book provides a comprehensive reference for solving scientific problems with the generalized linear geostatistical model (GLGM), with an emphasis on demonstrating the accompanying software through examples. The key features of the GLGM are observed data points being independent of each other conditional on an unobserved spatial surface, values of the underlying spatial surface follow a multivariate normal distribution, and the surface is the sum of explanatory variables (fixed effects) and a random term.

Info autore

Patrick Brown is a scientist at Cancer Care Ontario and an associate professor at the University of Toronto, Canada

Riassunto

This book provides a comprehensive reference for solving scientific problems with the generalized linear geostatistical model (GLGM), with an emphasis on demonstrating the accompanying software through examples. The key features of the GLGM are observed data points being independent of each other conditional on an unobserved spatial surface, values of the underlying spatial surface follow a multivariate normal distribution, and the surface is the sum of explanatory variables (fixed effects) and a random term.

Dettagli sul prodotto

• Autori: Brown Patrick, Patrick Brown, Patrick (University of Toronto Brown
• Editore: Taylor & Francis Ltd.
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 15.01.2027
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo
• EAN: 9781482243772
• ISBN: 978-1-4822-4377-2
• Numero di pagine: 250
• Serie: Chapman & Hall/CRC Texts in Statistical Science; Chapman & Hall/CRC Texts in Statistical Science
• Categorie: MATHEMATICS / Probability & Statistics / General, Probability & statistics, Mathematical & statistical software, Geochemistry, Probability and statistics, Mathematical and statistical software