Species distribution models described

Biosecurity descriptions of SDMs

Bioclim SDM explained
Introduction Bioclim is a so-called envelope-style method that uses only occurrence data to define a multi-dimensional environmental space in which a spec...
Wed, 22 Feb, 2023 at 3:37 PM
Range-bagging
Range-bagging is a sophisticated method used to understand where certain species might be able to live based on certain environmental conditions.  Range...
Thu, 27 Jul, 2023 at 3:54 PM
Climatch- lite
*Disclaimer: Please note that Climatch – lite* implements the Climatch algorithm (Euclidean), but is not the Climatch package, which can be found at Climatc...
Thu, 27 Jul, 2023 at 2:49 PM
Surface Range Envelope SDM explained
Introduction A Surface Range Envelope is an envelope-style method similar to Bioclim. It is a presence-only model that uses the environmental conditions o...
Wed, 22 Feb, 2023 at 3:38 PM
Maxent SDM explained
Introduction    Maxent, which stands for maximum entropy modelling, predicts species occurrences by finding the distribution that is most spread out ...
Wed, 22 Feb, 2023 at 3:35 PM
Boosted Regression Tree SDM explained
Introduction   Boosted Regression Tree (BRT) models are a combination of two techniques: decision tree algorithms and boosting methods. Like Random Fores...
Wed, 22 Feb, 2023 at 3:55 PM
Artificial Neural Network SDM explained
Introduction Artificial Neural Networks (ANN) refers to a large group of computational models inspired by biological neural networks, particularly the br...
Thu, 23 Feb, 2023 at 12:06 PM
Random Forest SDM explained
Introduction Random Forests are an extension of single Classification Trees in which multiple decision trees are built with random subsets of the data...
Thu, 23 Feb, 2023 at 12:15 PM
Classification Tree SDM explained
Introduction Tree-based models partition the data into increasingly homogeneous groups of presence or absence based on their relationship to a set of env...
Thu, 23 Feb, 2023 at 12:25 PM
Generalized Linear Model (GLM) SDM explained
Introduction  Generalized Linear Models (GLM) are an extension of ‘simple’ linear regression models, which predict the response variable as a function ...
Thu, 23 Feb, 2023 at 12:36 PM