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Contact


Email

alan.pearse@unimelb.edu.au

Credentials


Position
Research Fellow
School of Mathematics and Statistics
Education
PhD
University of Wollongong
Double Degree
Queensland University of Technology
ORCID

0000-0002-4133-8548

Dr Alan Pearse

Research Fellow
School of Mathematics and Statistics

14 Scholarly works
0 Projects

HIGHLIGHTS

  • 2026

    Journal article

    SPATIAL STATISTICAL INFERENCE FROM A DECISION-THEORETIC VIEWPOINT WITH APPLICATION TO NON-GAUSSIAN ENVIRONMENTAL DATA
    DOI: 10.1017/s0004972725100725
  • 2026

    Journal article

    Correction: SSNdesign—An R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks (PLoS One (2020) 15:9 (e0238422) DOI: 10.1371/journal.pone.023842)
    DOI: 10.1371/journal.pone.0341916
  • 2024

    Journal article

    SSN2: The next generation of spatial stream network modeling in R.
    DOI: 10.21105/joss.06389
  • 2024

    Journal article

    Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss
    DOI: 10.1016/j.spasta.2024.100829
  • 2023

    Book Chapter

    Optimal Spatial Prediction for Non-negative Spatial Processes Using a Phi-divergence Loss Function
    DOI: 10.1007/978-3-031-04137-2_17
  • 2021

    Journal article

    Discussion on “Competition on Spatial Statistics for Large Datasets”
    DOI: 10.1007/s13253-021-00464-0
  • 2021

    Journal article

    Inter-reef Halimeda algal habitats within the Great Barrier Reef support a distinct biotic community and high biodiversity
    DOI: 10.1038/s41559-021-01400-8
Alan Pearse

RECENT SCHOLARLY WORKS

  • 2020

    Journal article

    SSNdesign-An R package for pseudo- Bayesian optimal and adaptive sampling designs on stream networks
    DOI: 10.1371/journal.pone.0238422
  • 2020

    Journal article

    Monitoring through many eyes: Integrating disparate datasets to improve monitoring of the Great Barrier Reef
    DOI: 10.1016/j.envsoft.2019.104557
  • 2019

    Journal article

    Rapid spatial risk modelling for management of early weed invasions: Balancing ecological complexity and operational needs
    DOI: 10.1111/2041-210X.13284

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