Modern ecological and environmental sciences are dominated by observational data. As a result, traditional statistical training often leaves scientists ill-prep
This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists,
Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book
Many applied researchers equate spatial statistics with prediction or mapping, but this book naturally extends linear models, which includes regression and ANOV
Ecological dynamics are tremendously complicated and are studied at a variety of spatial and temporal scales. Ecologists often simplify analysis by describing c