• Find an Expert
  • Contact
  • SearchSearch icon
  • Menu
  • Help
  • Report an issue

Contact


Email

patricia.menendez@unimelb.edu.au

Credentials


Position
Senior Lecturer in Statistics (Data Science)
School of Mathematics and Statistics
Education
Doctorate (Research)
Eth Zurich
ORCID

0000-0003-0701-6315

Dr Patricia Menendez Galvan

Senior Lecturer in Statistics (Data Science)
School of Mathematics and Statistics

43 Scholarly works
1 Projects

HIGHLIGHTS

  • 2025

    Journal article

    A Tidy Framework and Infrastructure to Systematically Assemble Spatio-temporal Indexes from Multivariate Data
    DOI: 10.1080/10618600.2024.2374960
  • 2024

    Journal article

    Bayesian design methods for improving the effectiveness of ecosystem monitoring
    DOI: 10.1007/s10651-024-00623-9
  • 2024

    Journal article

    The effect of flood risk on house prices in the Basque Country
    DOI: 10.1016/j.jhe.2024.102022
  • 2024

    Journal article

    Quantifying Inequalities in Childhood Immunization Using Summary Measures of Health Inequality: An Application of WHO Stata and R ‘Healthequal’ Packages
    DOI: 10.3390/vaccines12121324
  • 2024

    Journal article

    A novel statistically-based approach to regionalize extreme precipitation events using temperature data
    DOI: 10.1007/s11069-024-06805-9
  • 2024

    Software / Code

    healthequal: Compute Summary Measures of Health Inequality
  • 2024

    Research grants (ARC, NHMRC, MRFF)

    Modern Statistical Methods for Clustering Community Ecology Data
Patricia Menendez Galvan

RECENT SCHOLARLY WORKS

  • 2024

    Journal article

    cubble: An R Package for Organizing and Wrangling Multivariate Spatio-Temporal Data
    DOI: 10.18637/jss.v110.i07
  • 2023

    Software / Code

    tidyindex: A Tidy Data Pipeline to Construct, Compare, and Analyse Indexes
    DOI: 10.32614/cran.package.tidyindex
  • 2023

    Journal article

    Assessing the ability of adaptive designs to capture trends in hard coral cover
    DOI: 10.1002/env.2802
  • 2023

    Software / Code

    cubble: A Vector Spatio-Temporal Data Structure for Data Analysis

We acknowledge and pay respect to the Traditional Owners of the lands upon which our campuses are situated

Read about our commitment to reconciliation  

About us  

Careers at Melbourne  

Safety and respect  

Newsroom  

Contact  

Phone: 13 MELB ( 13 6352)

International: +61 3 9035 5511


Address:
The University of Melbourne
Grattan Street, Parkville,
Victoria, 3010, Australia


View all Campus locations  
facebookIconlinkedinIconinstagramIcontwitterIcon

Emergency information  |  Disclaimer and copyright  |  Accessibility  |  Privacy  |  VaxFACTS

CRICOS number: 00116K     ABN: 84 002 705 224