e-learning
Life Traits Ecoregionalization workflow
Abstract
This tutorial is designed to guide you through the Ecoregionalization Galaxy workflow, demonstrating how to create a life traits ecoregionalization map from occurrences and environmental data using a boosted regression tree 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 life traits ecoregionalization?
- How to construct ecoregions from occurrences species data and environmental data?
Learning Objectives
- Learning how to use the ecoregionalization workflow.
- Learning how to collect life traits informations from marine species occurences.
- Learning about boosted regression trees algorithm.
- Learning about Silhouette index and select an appropriate number of clusters.
- Learning about Clara clustering algorithm (PAM for large datasets)objectives.
- Create an ecoregionalization map from life traits data.
Licence: Creative Commons Attribution 4.0 International
Keywords: Ecology, biodiversity
Target audience: Students
Resource type: e-learning
Version: 3
Status: Active
Prerequisites:
Introduction to Galaxy Analyses
Learning objectives:
- Learning how to use the ecoregionalization workflow.
- Learning how to collect life traits informations from marine species occurences.
- Learning about boosted regression trees algorithm.
- Learning about Silhouette index and select an appropriate number of clusters.
- Learning about Clara clustering algorithm (PAM for large datasets)objectives.
- Create an ecoregionalization map from life traits data.
Date modified: 2025-06-10
Date published: 2025-06-02
Contributors: Björn Grüning, Jean Le Cras, Yvan Le Bras
Scientific topics: Ecology
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