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Coming in September 2022:

  • Time Series Analysis using Regression Techniques.
  • Introduction to GAM and GAMM (frequentist). 

See highstat.com for details.

Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA (2017).  Zuur, Ieno, Saveliev

This book consists of two volumes.

In Volume I we explain how to apply linear regression models, generalised linear models (GLM), and generalised linear mixed-effects models (GLMM) to spatial, temporal, and spatial-temporal data. The models that will be employed use the Gaussian and gamma distributions for continuous data, the Poisson and negative binomial distributions for count data, the Bernoulli distribution for absence–presence data, and the binomial distribution for proportional data.

In Volume II we apply zero-inflated models and generalised additive (mixed-effects) models to spatial and spatial-temporal data. Volume II is entitled  GAM and Zero-Inflated Models.

Visit the website of this book to download data, R code, the table of content, and information how to purchase this book.