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

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...

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

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

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 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 Voronoi Hull Model is a geographical model that uses the location of known occurrences and predicts that a species is present inside voronoi h...

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...