Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-4030
Publication type: Conference poster
Type of review: Peer review (abstract)
Title: Multi-criteria aggregation for sensistive parcel-based census data
Authors: Indermühle, Selina
Laube, Patrick
Geilhausen, Martin
Zwicker, Thomas
DOI: 10.21256/zhaw-4030
Conference details: 8th International Conference on Geographic Information Science, Vienna, Austria, 24-26 September 2014
Issue Date: 2014
Publisher / Ed. Institution: ZHAW Zürcher Hochschule für Angewandte Wissenschaften
Language: English
Subjects: Cartographic generalization; Census data
Subject (DDC): 711: Area planning
Abstract: Modern urban planning considers various socio-economic issues and hence requires fine-grained, potentially sensitive spatial data, raising the disclosure dilemma: Whilst it is imperative to aggregate fine-grained sensitive records large enough to avoid disclosure, aggregation blurs the information, potentially hindering insights about spatially explicit relationships. MASC is an aggregation algorithm for sensitive data, balancing five aggregation criteria.
URI: https://digitalcollection.zhaw.ch/handle/11475/11876
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Natural Resource Sciences (IUNR)
Published as part of the ZHAW project: modularCity
Appears in collections:Publikationen Life Sciences und Facility Management

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