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, Andreas Engelhardt

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Classical regression methods

Generalized Linear Models

Volker Dickhardt

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GLMs with Lasso Penalty

Aziz Cimen

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Generalized Additive Models

Jens Meyer

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Machine learning methods

MaxEnt I (Java)

Alexander Klug

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MaxEnt II (R)

Daniel Bothe

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spatialMaxent

Rudolph, Kleiner, Baum

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Boosted Regression Trees I

Lukas Hilberg

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Boosted Regression Trees II

Remmetter, Tenbrüggen

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Support Vector Machines
I

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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cforest

Breidenbach, Kintscher, Vandamme

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XGboost I

Jan-Niklas Tripp

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XGboost II

Thoma, Hahneiser

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Bayesian (BART)

Lasse Xander

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Neural Networks

Kühn, Dehn

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