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Preprocessing alternatives for compositional data related to water, sanitation and hygiene
dc.contributor.author | Quispe Coica, Filimon Alejandro |
dc.contributor.author | Pérez Foguet, Agustí |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Ambiental |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.date.accessioned | 2020-11-10T14:41:41Z |
dc.date.available | 2022-06-25T00:31:17Z |
dc.date.issued | 2020-06 |
dc.identifier.citation | Quispe-Coica, F.A.; Pérez-Foguet, A. Preprocessing alternatives for compositional data related to water, sanitation and hygiene. "Science of the total environment", Juny 2020, vol. 743, p. 140519:1-140519:15. |
dc.identifier.issn | 0048-9697 |
dc.identifier.uri | http://hdl.handle.net/2117/331778 |
dc.description.abstract | The Sustainable Development Goals (SDGs) 6.1 and 6.2 measure the progress of urban and rural populations in their access to different levels of water, sanitation and hygiene (WASH) services, based on multiple sources of information. Service levels add up to 100%; therefore, they are compositional data (CoDa). Despite evidence of zero value, missing data and outliers in the sources of information, the treatment of these irregularities with different statistical techniques has not yet been analyzed for CoDa in the WASH sector. Thus, the results may present biased estimates, and the decisions based on these results will not necessarily be appropriate. In this article, we therefore: i) evaluate methodological imputation alternatives that address the problem of having either zero values or missing values, or both simultaneously; and ii) propose the need to complement the point-to-point identification of the WHO/UNICEF Joint Monitoring Program (JMP) with other robust alternatives, to deal with outliers depending on the number of data points. These suggestions have been considered here using statistics for CoDa with isometric log-ratio (ilr) transformation. A selection of illustrative cases is presented to compare performance of different alternatives. |
dc.description.sponsorship | This research was developed within the framework of a grant from the Peruvian government (Reference PRONABEC-President of the Republic Scholarship), through a full scholarship awarded to Alejandro Quispe Coica, and was partially funded by the Ministry of Science, Innovation and Universities of Spain (Ref: RTI2018-095518-B-C22) and by the Agència de Gestió d'Ajuts Universitaris i de Recerca de la Generalitat de Catalunya (Ref. 2017 SGR 1496). |
dc.language.iso | eng |
dc.publisher | Elsevier |
dc.rights | © 2019. Elsevier |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Enginyeria sanitària |
dc.subject.lcsh | Sanitation--Management |
dc.subject.other | Outliers |
dc.subject.other | Global monitoring |
dc.subject.other | Robust regression |
dc.subject.other | Mahalanobis distance |
dc.title | Preprocessing alternatives for compositional data related to water, sanitation and hygiene |
dc.type | Article |
dc.subject.lemac | Sanejament -- Gestió |
dc.contributor.group | Universitat Politècnica de Catalunya. EScGD - Engineering Sciences and Global Development |
dc.identifier.doi | 10.1016/j.scitotenv.2020.140519 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0048969720340419 |
dc.rights.access | Open Access |
local.identifier.drac | 29291507 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095518-B-C22/ES/TRANSFERENCIA Y DESARROLLO METODOLOGICO DE TECNICAS COMPOSICIONALES PARA LAS CIENCIAS APLICADAS Y LA INGENIERIA/ |
local.citation.author | Quispe-Coica, F.A.; Pérez-Foguet, A. |
local.citation.publicationName | Science of the total environment |
local.citation.volume | 743 |
local.citation.startingPage | 140519:1 |
local.citation.endingPage | 140519:15 |
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