EgoCor: an R package to facilitate the use of exponential semi-variograms for modelling the local spatial correlation structure in social epidemiology (2309.12979v2)
Abstract: As an alternative to using administrative areas 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. We present the R package EgoCor which offers a user-friendly interface displaying in one function a range of graphics and tables of parameters to facilitate the decision making about which exponential parameters fit best either raw data or residuals. This function is based on the functions of the R package gstat. Moreover, we implemented a function providing the measure of uncertainty proposed by Dyck and Sauzet. With the R package EgoCor the modelling of spatial correlation structure of health outcomes or spatially structured predictors of health with a measure of uncertainty is made available to non-specialists.
- Bard, Y. (1974). Nonlinear parameter estimation. Academic Press, New York.
- Neighbourhoods in eco-epidemiologic research: delimiting personal exposure areas. a response to riva, gauvin, apparicio and brodeur. Social science & medicine, 69(9):1306–1310.
- Comparison of a spatial perspective with the multilevel analytical approach in neighborhood studies: the case of mental and behavioral disorders due to psychoactive substance use in malmö, sweden, 2001. American journal of epidemiology, 162(2):171–182.
- shiny: Web Application Framework for R. R package version 1.7.4.
- GSLIB : geostatistical software library and user’s guide, chapter V.2 Gaussian-Related Algorithms, pages 141 – 149. New York (N.Y.) : Oxford university press, 2nd ed. edition.
- Parameter uncertainty estimation for exponential semi-variogram models: Two generalized bootstrap methods with check-and quantile-based filtering. arXiv preprint.
- EgoCor: Simple Presentation of Estimated Exponential Semi-Variograms. R package version 1.2.0.
- Feasibility of using survey data and semi-variogram kriging to obtain bespoke indices of neighborhood characteristics: A simulation and a case study. Geographical Analysis.
- Matheron, G. (1962). Traité de géostatistique appliquée. 1 (1962), volume 1. Editions Technip.
- Generalized bootstrap method for assessment of uncertainty in semivariogram inference. Mathematical Geosciences, 43(2):203–228.
- Varboot: A spatial bootstrap program for semivariogram uncertainty assessment. Computers & Geosciences, 41:188–198.
- Gstat: a program for geostatistical modelling, prediction and simulation. Computers & Geosciences, 24(1):17–31.
- R Core Team (2020). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
- Brisc: bootstrap for rapid inference on spatial covariances. Stat, 7(1):e184.
- BRISC: Fast Inference for Large Spatial Datasets using BRISC. R package version 1.0.5.
- An ego-centred approach for the evaluation of spatial effects on health in urban areas based on parametric semi-variogram models: concept and validation. BMC medical research methodology, 21(1):1–12.
- Statistical methods for spatial data analysis. CRC press.
- Solow, A. R. (1985). Bootstrapping correlated data. Journal of the International Association for Mathematical Geology, 17(7):769–775.
- Early childhood health in bielefeld, germany (babi study): study protocol of a social-epidemiological birth cohort. BMJ Open, 7(8).
- Neighbourhood effects research at a crossroads. ten challenges for future research introduction. Environment and Planning A, 44(12):2787–2793.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.