Overview

This is going to be a continuously updated collection of sources to obtain various kinds of information on different SDM techniques.

The content of these pages is the result of student’s work during earlier courses. Note that each link opens a new tab because the embedded documents are the HTML output of individual student’s markdown files.


Profile methods

Domain

Gabriel Valentin Behnke

Go to tutorial

Bioclim I

William J. Gabriel

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Bioclim II

Mona Hallenberger

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Bioclim III

Clara Puettker and Andreas Engelhardt

Go to tutorial


Classical regression methods

Generalized Linear Models

Volker Dickhardt

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Generalized Additive Models

Jens Meyer

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Machine learning methods

MaxEnt I (Java)

Alexander Klug

Go to tutorial

MaxEnt II (R)

Daniel Bothe

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Boosted Regression Trees

Lukas Hilberg

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Support Vector Machines

Julian Nuhn

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Random Forest I

Mandy Gimpel

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Random Forest II

Leander Heyer

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Random Forest III

Leon Uebe

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XGboost

Jan-Niklas Tripp

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Bayesian (BART)

Lasse Xander

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Neural Networks

Maira Kühn and Hannes Dehn

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