Ecological Modelling Platform

Your platform of choice

EcoCommons is a pioneering collaborative commons, uniting researchers and practitioners in a community of practice to advance ecological and environmental analysis and modelling.

Launching November 2022

Ecological Modelling Platform

Your platform of choice

EcoCommons is building a world-first collaborative commons that will become the platform of choice for analysing and modelling ecological and environmental challenges.

Launching November 2022

Datasets

Algorithms

Partners

Collaborators

Citations*

Our challenge

Challenges in Modelling Biodiversity

Researchers and practitioners in Australia face significant analytical and computational challenges when addressing ecological and biodiversity questions. EcoCommons empowers Australian practitioners and researchers by providing access to trusted datasets, advanced modelling tools, and comprehensive training resources. This ensures high-quality, reproducible, and transparent ecological modelling that informs and accelerates evidence-based policy and decision-making for the environment.

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our challenge

What our followers are saying

EcoCommons will raise the bar for species distribution modelling. It will enable comprehensive sensitivity analysis, perform variable importance diagnostics, and allow for parsimonious model selection using a variety of modelling methods. EcoCommons will also provide workflow documentation that allows for full experiment replication – a hallmark of the scientific methodology.

Brendan Mackey – Researcher/Professor at Griffith

EcoCommons provides computational tools and resources for reproducible ecosystems research. As an evolution of the BCCVL and ecocloud projects, it supports the full spectrum of researchers, from the non-technical who want good results without the need to code, to those comfortable working ‘closer to the metal’ and building their own tools. EcoCommons offers an exciting opportunity to teach the next generation of ecosystem modellers.

Shawn Laffan – Professor at UNSW Sydney

What you can do

Learn

Explore our point-and-click interface to harness powerful modeling tools and peer-reviewed algorithms. Access training materials and tips to optimise your results and enhance every phase of your analysis.

Access our
educational material

Explore

Browse a growing catalogue of thousands of trusted datasets. You can search, visualise and download species occurrence records and species traits data or discover environmental and climate layers with the same extent, resolution and projection.

Discover our
available data

Build

Select from over 17 algorithms, including species distribution, climate change projection, ensemble, and species trait models.

Check out our
decision support tools

Collaborate

Share your results publicly or with authorised individuals to solve environmental challenges. Collaborate with others in a consistent and transparent manner and join a growing ecological modelling community.

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about our platform

We provide

Thousands of datasets

Access pre-processed and formatted climate, environment and species data from trusted providers or securely upload your own data.

Easy data wrangling

Quickly cleanse, organise and transform complex datasets with automated tools.

Trusted models and algorithms

Explore an extensive suite of peer-reviewed and trusted models and algorithms with advanced configurations.

Cutting-edge virtual laboratories

Perform ecological models in a user-friendly point-and-click environment.

Cloud-based high-performance computing

Run models, visualise large datasets and do analyses directly on the cloud.

Data storage

Securely upload, analyse and share your work with others.

FAIR scientific workflows and results

Save your scientific workflows, repeat experiments and collaborate with others by sharing your analysis scripts and results following FAIR principles.

Follow us for news & events

Follow us on LinkedIn for updates, news and upcoming events!

Our partners

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.