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EgoCor: An R Package to Facilitate the Use of Exponential Semi-Variograms for Modelling the Local Spatial Correlation Structure in Social Epidemiology Cover

EgoCor: An R Package to Facilitate the Use of Exponential Semi-Variograms for Modelling the Local Spatial Correlation Structure in Social Epidemiology

Open Access
|Apr 2025

Abstract

For the evaluation of small-area health inequalities, Sauzet et al. suggested to take an ego-centred approach and model the spatial correlation structure of health outcomes at the individual level. Existing tools for the analysis of spatial data in R might appear too complex to non-specialists which could limit the use of the approach. The R package EgoCor offers a user-friendly interface. Calling one function, a range of models is estimated and displayed in graphics and parameter tables to facilitate the decision making about which exponential semi-variogram parameters fit either raw data or residuals best. Moreover, a measure of uncertainty proposed by Dyck and Sauzet is obtainable. The EgoCor package is available on the Comprehensive R Archive Network and Github.

DOI: https://doi.org/10.5334/jors.517 | Journal eISSN: 2049-9647
Language: English
Submitted on: May 29, 2024
Accepted on: Mar 22, 2025
Published on: Apr 3, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Julia Dyck, Jan-Ole Koslik, Odile Sauzet, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.