EgoCor: An R Package to Facilitate the Use of Exponential Semi-Variograms for Modelling the Local Spatial Correlation Structure in Social Epidemiology
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.
Authors
- Julia Dyck (ORCID: https://orcid.org/0009-0008-3118-9404)
- Odile Sauzet (ORCID: https://orcid.org/0000-0002-1029-8846)
- Jan-Ole Koslik (ORCID: https://orcid.org/0009-0004-1556-9053)
Publication Details
- Journal
- Journal of Open Research Software
- Published
- 2025-01-01
- DOI
- https://doi.org/10.5334/jors.517
- Primary Topic
- Health disparities and outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00