e-learning
Ecoregionalization workflow tutorial
Abstract
This tutorial is designed to guide you through the Ecoregionalization Galaxy workflow, demonstrating how to create an ecoregionalization map from occurrences and environmental data using a boosted regression trees model for predictions.
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- How to use the ecoregionalization workflow?
- How to construct ecoregions from occurrences species data and environmental data?
Learning Objectives
- Learning how to use the ecoregionalization workflow.
- Learning about boosted regression trees algorithm.
- Learning about Silhouette index and select an appropriate number of cluster
- Learning about Clara clustering algorithm (PAM for large datasets)
- Create an ecoregionalization map
Licence: Creative Commons Attribution 4.0 International
Keywords: EBV workflow, Ecology, biodiversity, earth-system, ecology, gbif, interactive-tools, modeling, ocean, taxonomic data
Competency level: • Beginner
Target audience: Students
Resource type: e-learning
Version: 8
Status: Active
Prerequisites:
Introduction to Galaxy Analyses
Learning objectives:
- Learning how to use the ecoregionalization workflow.
- Learning about boosted regression trees algorithm.
- Learning about Silhouette index and select an appropriate number of cluster
- Learning about Clara clustering algorithm (PAM for large datasets)
- Create an ecoregionalization map
Date modified: 2026-05-22
Date published: 2024-09-16
Authors: 
Pauline Seguineau
Contributors: Perrine Jégousse, Marie Josse, Ankerl Yassine, Björn Grüning, Coline Royaux, Helena Rasche, Saskia Hiltemann, Yvan Le Bras
Scientific topics: Ecology, Biodiversity
Activity log
