This course will encompass the theory and practice of correlative species distribution models (SDM) and ecological niche models (ENM), spanning the underlying concepts, methods, and applications. We will address the caveats and challenges of these models, and see how to make the most of their ...

Anyone interested in expanding their modeling skillset for the benefit of species conservation. This course will provide participants with the skills needed to build species distribution models (SDMs) and habitat suitability maps that have become increasingly important for conservation planning.

In this module, you'll use the forest-based algorithm, which trains a model based on known values provided as part of a training dataset and can be used to predict unknown values.

The course gives a brief overview of the concept of species distribution modelling, and introduces the main modelling steps.

October 30, 2025 - Then this course is for you! I will take you on an adventure into the amazing of field Machine Learning and GIS for ecological modelling. You will learn how to implement species distribution modelling/map suitable habitats for species in R.

November 19, 2025 - A hands-on course in Bayesian species distribution modelling using R. Learn to incorporate uncertainty and make robust ecological predictions for conservation and environmental management.

Those working on constructing models ... conservation applications. This course provides participants with skills for building species distribution and habitat models (SDHM) for use in management and conservation planning, and ecological study....

This course was the first of two modules and focused on theory and concepts. This first module was held online and wis designed for PhD students and Early Career Researchers, interested in using SDMs to model species ranges and predict the impact of climate change.

December 3, 2025 - Transmitting Science ONLINE short course EVALUATING AND VALIDATING SPECIES DISTRIBUTIONS MODELS WITH R by Márcia Barbosa.

June 3, 2025 - The goal of this tutorial is to model a theoretical ecological niche and predict species distribution in a future climate scenario by using an SDM with the Wallace interactive environment on Galaxy.

August 12, 2021 - This training will provide an overview of SDMs, show how to use remote sensing data for landscape characterization, and highlight multiple Applied Sciences projects that have developed tools for conducting SDM for a variety of ecosystems. This will include a special session on the Wallace R-based platform for modeling of species niches and distributions.

Successful completion of this course will equip any student, researcher, practitioner, or extension worker with the ability to conduct sound and robust species distribution modelling. It starts from choosing the right SDM approach for the kind of biological information, occurrence dataset or ...

March 27, 2025 - The 10th edition of the course “Species distributions models: concepts, methods, applications, and challenges” introduces the fundamental concepts underpinning ecological niche models (ENM), describes some of the most prominent methods currently ...

October 15, 2019 - International course of the Department of Physical Geography at Marburg University · Species distribution modelling (SDM) is a key competence for ecogeographical research and applied nature conservation.

This set of talks, filmed over two days in November 2014, introduces the field of Species Distribution Modelling (also called Ecological Niche Modelling). Th...

Species Distribution Modelling course organized by the Research School for Ecology, Biodiversity and the Environment, University of Stockholm.

February 12, 2026 - In this tutorial, we’ll use publicly available data to build, evaluate, and visualize a distribution model for the saguaro cactus. Before we do anything, we will need to make sure we have necessary software, set up our workspace, download example data, and install additional packages that are necessary to run the models and visualize their output. The packages necessary for species distribution modeling will likely require additional, non-R software to work properly.

In particular, we introduce key SDM concepts and terminology, review standard models, discuss data availability, and highlight technical challenges and pitfalls. CCS Concepts: • Computing methodologies → Machine learning. Keywords: species distribution modeling, ecological niche modeling, machine learning