Author

K. Mengersen

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:ecology & biodiversity· 1 Assay:imaging· 1 Organism:multiple species· 1

Frequent Co-Authors

C. Leigh· 2 shared E. E. Peterson· 2 shared E. Wilson· 1 shared F. Gonzalez· 1 shared G. Heron· 1 shared J. Holloway· 1 shared J. M. McGree· 1 shared J. McGree· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersEcology

C. Leigh

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2 papers

Recent·Most cited

Using virtual reality and thermal imagery to improve statistical modelling of vulnerable and protected species

C. Leigh, G. Heron, E. Wilson, T. Gregory, S. Clifford, J. Holloway, M. McBain, F. Gonzalez, J. McGree, R. Brown, K. Mengersen, E. E. Peterson

The paper combines virtual reality and thermal imagery with statistical models to improve koala distribution predictions and conservation efforts.

bioRxiv · May 21, 2019Ecology

Predicting sediment and nutrient concentrations from high-frequency water-quality data

C. Leigh, S. Kandanaarachchi, J. M. McGree, R. J. Hyndman, O. Alsibai, K. Mengersen, E. E. Peterson

The paper develops models to predict sediment and nutrient concentrations using high-frequency sensor data, finding turbidity is a better surrogate for total suspended solids than for oxidized nitrogen.

bioRxiv · Apr 4, 2019Ecology