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disaggregation: An R Package for Bayesian Spatial Disaggregation Modeling

delete2023-01-01
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OA
AI
A
A. Nandi *
T
Tim Lucas
R
Rohan Arambepola
P
Peter W. Gething
D
Daniel J. Weiss
DOI:10.18637/jss.v106.i11delete
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Abstract

Abstract

En 中文
Disaggregation modeling, or downscaling, has become an important discipline in epi-demiology. Surveillance data, aggregated over large regions, is becoming more common, leading to an increasing demand for modeling frameworks that can deal with this data to understand spatial patterns. Disaggregation regression models use response data aggre-gated over large heterogeneous regions to make predictions at fine-scale over the region by using fine-scale covariates to inform the heterogeneity. This paper presents the R package disaggregation, which provides functionality to streamline the process of running a disag-gregation model for fine-scale predictions.
Keywords:
Bayesian spatial modeling
disaggregation modeling
TMB

Journal

Journal of Statistical Software cover
Journal of Statistical Software
IF:
8.1
Papers:
622
Citations:
4.6W

Organization

U
University of Western Australia
Scholars:
2.9W
Papers: 3.0W
Citations: 46
U
university of oxford
Scholars:
9.7W
Papers: 8.6W
Citations: 137