Using theory, applications, and examples of inferences, Niche Modeling: Predictions from Statistical Distributions demonstrates how to conduct and evaluate niche modeling projects in any area of application. It features a series of theoretical and practical exercises for developing and evaluating niche models using the R statistics language. The au

Preface. Functions. Data. Spatial. Topology. Environmental Data Collections. Examples. Bias. Autocorrelation. Non-Linearity. Long Term Persistence. Circularity. Fraud. References.