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2020 – today
- 2023
[j5]Edgar Santos-Fernández, Jay M. Ver Hoef, James M. McGree, Daniel J. Isaak, Kerrie L. Mengersen, Erin E. Peterson:
SSNbayes: An R Package for Bayesian Spatio-Temporal Modelling on Stream Networks. R J. 15(3): 26-58 (2023)- 2022
- [j4]Edgar Santos-Fernández
, Jay M. Ver Hoef, Erin E. Peterson, James M. McGree, Daniel J. Isaak, Kerrie L. Mengersen:
Bayesian spatio-temporal models for stream networks. Comput. Stat. Data Anal. 170: 107446 (2022) - 2021
- [j3]Julie Vercelloni, Jon Peppinck, Edgar Santos-Fernández, Miles McBain, Grace Heron, Tanya Dodgen, Erin E. Peterson, Kerrie L. Mengersen:
Connecting virtual reality and ecology: a new tool to run seamless immersive experiments in R. PeerJ Comput. Sci. 7: e544 (2021) - [c2]Richi Nayak, Thirunavukarasu Balasubramaniam, Sangeetha Kutty, Sachindra Banduthilaka, Erin E. Peterson:
A Semi-automatic Data Extraction System for Heterogeneous Data Sources: a Case Study from Cotton Industry. AusDM 2021: 209-222 - [i1]Richi Nayak, Thirunavukarasu Balasubramaniam, Sangeetha Kutty, Sachindra Banduthilaka, Erin E. Peterson:
A Semi-automatic Data Extraction System for Heterogeneous Data Sources: A Case Study from Cotton Industry. CoRR abs/2111.03579 (2021) - 2020
- [j2]Erin E. Peterson, Edgar Santos-Fernández, Carla C. M. Chen, Samuel Clifford, Julie Vercelloni, Alan Pearse, Ross Brown, Bryce Christensen, Allan R. James, Ken Anthony, Jennifer Loder, Manuel González-Rivero, Chris M. Roelfsema, M. Julian Caley, Camille Mellin, Tomasz Bednarz, Kerrie L. Mengersen:
Monitoring through many eyes: Integrating disparate datasets to improve monitoring of the Great Barrier Reef. Environ. Model. Softw. 124: 104557 (2020)
2010 – 2019
- 2016
- [c1]Tomasz Bednarz, June Kim, Ross Brown, Allan R. James, Kevin Burrage, Samuel Clifford, Jacqueline Davis, Kerrie L. Mengersen, Erin E. Peterson, Steven Psaltis, Julie Vercelloni:
Virtual reality for conservation. Web3D 2016: 177-178 - 2014
- [j1]Jennifer C. Frieden, Erin E. Peterson, James Angus Webb, Peter M. Negus:
Improving the predictive power of spatial statistical models of stream macroinvertebrates using weighted autocovariance functions. Environ. Model. Softw. 60: 320-330 (2014)
Coauthor Index
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