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Software . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Software . 2019
License: CC BY
Data sources: Datacite
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Characterization of uncertainty around WASH estimates (R code). June 2019.

Authors: Ezbakhe, Fatine; Pérez Foguet, Agustí;

Characterization of uncertainty around WASH estimates (R code). June 2019.

Abstract

These R files present the code to characterize the uncertainty around Water, Sanitation and Hygiene (WASH) estimates. The method is explained in detail in the following paper: Ezbakhe, F. and Pérez-Foguet, A. (2019) Estimating access to drinking water and sanitation: The need to account for uncertainty in trend analysis. Science of the Total Environment. DOI: 10.1016/j.scitotenv.2019.133830 https://doi.org/10.1016/j.scitotenv.2019.133830 The dataset used can be downloaded from: https://doi.org/10.5281/zenodo.3368864

Keywords

Joint Monitoring Programme, WASH, R Code, Compositional data, Water, sanitation and hygiene, Uncertainty characterization

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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