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Learn & support

EcoCommons offers access to peer-reviewed educational materials, real-world case studies, and comprehensive platform guides to support users in addressing environmental challenges.

Educational material

Access training materials on a range of topics like modelling and coding that you can apply to your research project or include in your course curriculum. Get tips on how to answer your scientific questions, including data selection, analytical methods, and models.

Now available: overview of species distribution modelling and 15 algorithms

The Educational Material webpage includes videos, and links to example code to learn more about coding in R

Case studies

Discover real-world examples that demonstrate how EcoCommons’ tools can be used to solve environmental problems.

Platform guides

Navigate your way around EcoCommons using our platform guides.

Frequently asked questions

Find the answer to your most common questions about the platform, models and methodology with our Frequently Asked Questions (FAQs). 

Do you have a question or feedback about our learning and
support materials or our platform?
Send us an enquiry.

What our followers are saying

In April 2021, I participated in the R for Ecologist Training run by EcoCommons. It was fantastic to be able to follow along. I tried to play with R and R studio on my own when I was doing my PhD, but I had absolutely no idea what I was doing. Having this workshop, especially for a novice, was really helpful.

Participant of the R for Ecologist Training – Student

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Our partners

 

  1. Queensland Cyber Infrastructure FoundationAtlas of Living AustraliaTERNCentre of Excellence for Biosecurity Risk AnalysisQueensland Government                                                              Griffith UniversityCSIRO Land and Water University of New South WalesMacquarie University
  2. Australian Research Data Commons
  3. National Collaborative Research Infrastructure Strategy
  4. EcoCommons Australia partners with the Australian Research Data Commons (ARDC), which is supported by funding from the National Collaborative Research Infrastructure Strategy (NCRIS) https://doi.org/10.47486/PL108. 

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