ACEMS Research Briefs

These are short summary descriptions of our latest, just-published research.

ACEMS Research Briefs Projects

Development of the Australian Cancer Atlas: spatial modelling, visualisation, and reporting of estimates

This project explains the rationale behind a lot of the decisions involved in creating the Australian Atlas of Cancer.

Rapid spatial risk modelling for management of early weed invasions: balancing ecological complexity and operational needs

Invasive weeds can threaten native biodiversity and negatively impact on agriculture. A group of researchers at QUT and CSIRO, including an ACEMS member, designed and implemented a new framework for rapidly modelling the invasion risk of weeds using Bayesian belief networks.

Decision tree methods for filling missing data in satellite images and identifying woodland

ACEMS researchers have produced a fast and highly accurate approach for filling data gaps in free satellite images due to clouds and classifying land cover.

Delimiting a species’ geographic range using posterior sampling and computational geometry

How do you determine the boundaries within which some species is present? This research sets out to determine the geographic range of the Red Imported Fire Ant (RIFA) near Brisbane.

Hamiltonian Monte Carlo with Energy Conserving Subsampling

ACEMS researchers found a way to make Hamiltonian Monte Carlo (HMC) compatible with data subsampling without deteriorating the sampling efficiency of an algorithm.

Jump test tool to predict athletic performance

ACEMS researchers develop statistical method to predict fatigue in athletes to help prevent over-training, or worse, injury.

Paris Agreement does not rule out ice-free Arctic

Research published in Communications reveals a considerable chance for an ice-free Arctic Ocean at global warming limits stipulated in the Paris Agreement. Scientists from South Korea, Australia and the USA used results from climate models and a new statistical approach to calculate the likelihood for Arctic sea ice to disappear at different warming levels.

Will we be able to rely on the ecosystem services streams provide under future drought scenarios?

ACEMS investigator Dr Catherine Leigh has combined efforts with a team of collaborators in the UK and Australia to find out how repeated drought in streams affects biodiversity.

Variance reduction properties of the reparameterization trick

ACEMS researchers have now provided a mathematical treatment that sheds light on the variance reduction properties of the reparameterization trick. The work was presented at the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) in Okinawa, Japan in April 2019, and was subsequently published in the conference proceedings. AISTATS is considered a top conference in Machine Learning.

The role of education in attitudes towards temporary and perennial rivers

ACEMS researcher Dr Catherine Leigh and colleagues have found that learning about the environment positively influences attitudes towards the environment, and in important ways. Their findings were published in People and Nature.

Welcome to the ACEMS Reportal

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These are short summary descriptions of our latest, just-published research.