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Your platform of choice

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.

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

Launching November 2022

Your platform of choice

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

Launching November 2022

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

Datasets

Algorithms

Partners

Collaborators

Citations*

Find out for yourself

Our challenge

The environment needs our help urgently

Australia’s natural environment is being dramatically transformed by human activity and climate change. There is an urgent need to facilitate collaboration and create a pipeline between research and decision-making to protect and restore the planet. EcoCommons aims to empower Australian practitioners and researchers to use trusted datasets, modelling tools, and training resources to produce high-quality research that will inform and accelerate evidence-based policy and decision-making for the environment.

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

Imagine a place where you can learn about the latest cutting-edge scientific methods.

Master the powerful modelling tools on offer by discovering the pre-reviewed algorithms available in our point-and-click interface, or by learning how to code in R or Python in our command-line environment. Get access to training materials to optimise your results, as well as tips on what to consider during all phases of your analysis. If you are an educator, you can also download teaching modules or example use cases for your lectures and train the next generation of ecological modellers.

Explore

Imagine a place where you can effortlessly find the data you need for your analysis.

Browse a growing catalogue of datasets of species occurrence records and species traits data that you can search, visualise and download. Discover available environmental and climate layers with the same extent, resolution and projection. Find and copy the code behind the point-and-click algorithms to use as building blocks for your analysis.

Build

Imagine a place where you can trial new models or run your own code on the cloud, freeing up your computer.

Point-and-click environment

Explore data from our collection of curated datasets or upload your own data to run your analysis. Choose from 17 algorithms, including species distribution, climate projection, ensemble and species trait models amongst others, in a user-friendly, point-and-click environment.

Command-line environment

Bring your own code using open source languages like R or Python, or draw from a catalogue of functions to build your own analyses in a command-line environment on the cloud. Launch an R or Python server or use JupyterHub notebooks right from EcoCommons’ code library.

Collaborate

Imagine a growing community where you can collaborate with your peers.

Share your results publically or with authorised individuals to solve environmental challenges. Run your code to get results which can easily be reproduced. Collaborate with others in a consistent and transparent manner, and join a growing ecological modelling community.

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

Browse our catalogue of modelling functions and play, test and perform experiments in a user-friendly point-and-click environment.

Cloud-based high-performance computing

Run code, visualise large datasets and do analyses directly on the cloud without burdening your personal computer.

Free and secure storage

Get access to free storage where you can 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.

News & events

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Our partners

  • Australian Research Data Commons
  • National Collaborative Research Infrastructure Strategy
  • EcoCommons Australia received investment (https://doi.org/10.47486/PL108) from the Australian Research Data Commons (ARDC). The ARDC is funded by the National Collaborative Research Infrastructure Strategy (NCRIS).

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