The EcoCommons currently provides 19 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...

Range-bagging is a sophisticated method used to understand where certain species might be able to live based on certain environmental conditions.  Range...

*Disclaimer: Please note that Climatch – lite* implements the Climatch algorithm (Euclidean), but is not the Climatch package, which can be found at Clima...

Introduction A Surface Range Envelope is an envelope-style method similar to Bioclim. It is a presence-only model that uses the environmental conditions of...

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

Introduction Random Forests are an extension of single Classification Trees in which multiple decision trees are built with random subsets of the data. All...

Introduction  Maxent, which stands for maximum entropy modelling, predicts species occurrences by finding the distribution that is most spread out or c...

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

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