Improving the predictive power of spatial statistical models of stream macroinvertebrates using weighted autocovariance functions. - Jennifer C. Frieden; Erin E. Peterson; James Angus Webb; Peter M. Negus (Environ. Model. Softw., 2014)

Virtual reality for conservation. - Tomasz Bednarz; June Kim; Ross Brown 001; Allan R. James; Kevin Burrage; Samuel Clifford; Jacqueline Davis; Kerrie L. Mengersen; Erin E. Peterson; Steven Psaltis; Julie Vercelloni (Web3D, 2016)

Monitoring through many eyes: Integrating disparate datasets to improve monitoring of the Great Barrier Reef. - Erin E. Peterson; Edgar Santos-Fernández; Carla C. M. Chen; Samuel Clifford; Julie Vercelloni; Alan Pearse; Ross Brown 001; Bryce Christensen; Allan R. James; Ken Anthony; Jennifer Loder; Manuel González-Rivero; et al. (Environ. Model. Softw., 2020)

A Semi-automatic Data Extraction System for Heterogeneous Data Sources: a Case Study from Cotton Industry. - Richi Nayak; Thirunavukarasu Balasubramaniam; Sangeetha Kutty; Sachindra Banduthilaka; Erin E. Peterson (AusDM, 2021)

Connecting virtual reality and ecology: a new tool to run seamless immersive experiments in R. - Julie Vercelloni; Jon Peppinck; Edgar Santos-Fernández; Miles McBain; Grace Heron; Tanya Dodgen; Erin E. Peterson; Kerrie L. Mengersen (PeerJ Comput. Sci., 2021)

Bayesian spatio-temporal models for stream networks. - Edgar Santos-Fernández; Jay M. Ver Hoef; Erin E. Peterson; James M. McGree; Daniel J. Isaak; Kerrie L. Mengersen (Comput. Stat. Data Anal., 2022)

SSNbayes: An R Package for Bayesian Spatio-Temporal Modelling on Stream Networks. - Edgar Santos-Fernández; Jay M. Ver Hoef; James M. McGree; Daniel J. Isaak; Kerrie L. Mengersen; Erin E. Peterson (R J., 2023)

SSN2: The next generation of spatial stream network modeling in R. - Michael Dumelle; Erin E. Peterson; Jay M. Ver Hoef; Alan Pearse; Daniel J. Isaak (J. Open Source Softw., 2024)