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Highland Statistics Ltd

Latest news

Starting in June, July and August 2020: Online courses with on-demand video and live Zoom meetings:

  • Data Exploration, Regression, GLM & GAM with an introduction to R.
  • Linear Mixed-Effects Models and GLMM with R-INLA.
  • Introduction to Regression Models with Spatial Correlation using R-INLA.
  • Introduction to Zero Inflated Models using R-INLA.
  • Zero-inflated GAMs and GAMMs for the analysis of spatial and spatial-temporal correlated data using R-INLA. 

See highstat.com for details.

Analyzing Ecological Data (2007). Zuur, Ieno, Smith

This book provides a practical introduction to analyzing ecological data using real data sets collected as part of postgraduate ecological studies or research projects. The first part of the book gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis (e.g. common trends) and spatial statistics.

The first part of the book gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis (e.g. common trends) and spatial statistics. The second part provides 17 case studies, mainly written together with biologists. The case studies include topics ranging from terrestrial ecology to marine biology. The case studies can be used as a template for your own data analysis.

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