The EcoCommons currently provides 17 different algorithms across 4 different categories to run your species distribution model: Profile models These mo...

Introduction Bioclim is a so-called envelope-style method that uses only occurrence data to define a multi-dimensional environmental space in which a sp...

Introduction   Boosted Regression Tree (BRT) models are a combination of two techniques: decision tree algorithms and boosting methods. Like Random Forest...

Introduction Artificial Neural Networks (ANN) refers to a large group of computational models inspired by biological neural networks, particularly th...

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  Tree-based models partition the data into increasingly homogeneous groups of presence or absence based on their relationship to a set ...

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  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...