A quadtree approach based on European geographic grids: reconciling data privacy and accuracy

Methods to preserve confidentiality when publishing geographic information conflict with the need to publish accurate data. The goal of this paper is to create a European geographic grid frame- work to disseminate statistical data over maps. We propose a methodology based on quadtree hierarchical ge...

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Detalles Bibliográficos
Autores: Lagonigro, Raymond, Oller, Ramon, Martori, Joan Carles
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/112845
Acceso en línea:https://hdl.handle.net/2117/112845
Access Level:acceso abierto
Palabra clave:Official statistics
confidentiality
disclosure limitation
dissemination
geographic information systems
hierarchical data structures
small area geography.
Classificació AMS::62 Statistics::62P Applications
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
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oai_identifier_str oai:upcommons.upc.edu:2117/112845
network_acronym_str ES
network_name_str España
repository_id_str
spelling A quadtree approach based on European geographic grids: reconciling data privacy and accuracyLagonigro, RaymondOller, RamonMartori, Joan CarlesOfficial statisticsconfidentialitydisclosure limitationdisseminationgeographic information systemshierarchical data structuressmall area geography.Classificació AMS::62 Statistics::62P ApplicationsÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàticaMethods to preserve confidentiality when publishing geographic information conflict with the need to publish accurate data. The goal of this paper is to create a European geographic grid frame- work to disseminate statistical data over maps. We propose a methodology based on quadtree hierarchical geographic data structures. We create a varying size grid adapted to local area densities. High populated zones are disaggregated in small squares to allow dissemination of accurate data. Alternatively, information on low populated zones is published in big squares to avoid identification of individual data. The methodology has been applied to the 2014 population register data in CataloniaPeer ReviewedInstitut d'Estadística de Catalunya20172017-06-2120182018-01-16journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/112845reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1128452026-05-27T15:37:01Z
dc.title.none.fl_str_mv A quadtree approach based on European geographic grids: reconciling data privacy and accuracy
title A quadtree approach based on European geographic grids: reconciling data privacy and accuracy
spellingShingle A quadtree approach based on European geographic grids: reconciling data privacy and accuracy
Lagonigro, Raymond
Official statistics
confidentiality
disclosure limitation
dissemination
geographic information systems
hierarchical data structures
small area geography.
Classificació AMS::62 Statistics::62P Applications
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
title_short A quadtree approach based on European geographic grids: reconciling data privacy and accuracy
title_full A quadtree approach based on European geographic grids: reconciling data privacy and accuracy
title_fullStr A quadtree approach based on European geographic grids: reconciling data privacy and accuracy
title_full_unstemmed A quadtree approach based on European geographic grids: reconciling data privacy and accuracy
title_sort A quadtree approach based on European geographic grids: reconciling data privacy and accuracy
dc.creator.none.fl_str_mv Lagonigro, Raymond
Oller, Ramon
Martori, Joan Carles
author Lagonigro, Raymond
author_facet Lagonigro, Raymond
Oller, Ramon
Martori, Joan Carles
author_role author
author2 Oller, Ramon
Martori, Joan Carles
author2_role author
author
dc.subject.none.fl_str_mv Official statistics
confidentiality
disclosure limitation
dissemination
geographic information systems
hierarchical data structures
small area geography.
Classificació AMS::62 Statistics::62P Applications
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
topic Official statistics
confidentiality
disclosure limitation
dissemination
geographic information systems
hierarchical data structures
small area geography.
Classificació AMS::62 Statistics::62P Applications
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
description Methods to preserve confidentiality when publishing geographic information conflict with the need to publish accurate data. The goal of this paper is to create a European geographic grid frame- work to disseminate statistical data over maps. We propose a methodology based on quadtree hierarchical geographic data structures. We create a varying size grid adapted to local area densities. High populated zones are disaggregated in small squares to allow dissemination of accurate data. Alternatively, information on low populated zones is published in big squares to avoid identification of individual data. The methodology has been applied to the 2014 population register data in Catalonia
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-06-21
2018
2018-01-16
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/112845
url https://hdl.handle.net/2117/112845
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institut d'Estadística de Catalunya
publisher.none.fl_str_mv Institut d'Estadística de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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