Introduction  Flexible discriminant analysis (FDA) is a general methodology that aims at providing tools for multigroup non-linear classification. It is...

Introduction    Generalized Additive Models (GAMs) are an extension of Generalized Linear Models (GLMs) in such a way that predictor variables can be ...

Introduction  This model is similar to Boosted Regression Trees only run through a different package in R.  These models are a combination of two te...

Introduction  Generalized Linear Models (GLM) are an extension of ‘simple’ linear regression models, which predict the response variable as a function ...

Takes the form of: y ~ env1 + (1|site)  Where y is the trait response variable, env1 is an environmental variable (which can be categorical or continuou...

Introduction Multivariate Adaptive Regression Splines (MARS) is a non-parametric regression method that builds multiple linear regression models across ...

Introduction  Convex Hull is a geographical model that uses the location of known occurrences and predicts that a species can be present within a spa...

Introduction  Circles is a geographical model that uses the location of known occurrences and predicts that a species can be present within a circle wit...

Introduction  Geographic Distance is a geographical model that uses the location of known occurrences and predicts that the likelihood of finding a s...

Introduction Inverse-Distance Weighted Model is a geographical model that uses the location of known occurrences and predicts that the likelihood of findin...