KUBÍČEK, Petr, Čeněk ŠAŠINKA and Zdeněk STACHOŇ. UNCERTAINTY VISUALIZATION TESTING. In Bandrova, T., Konecny, M., Zhelezov, G. Proceedings of the 4th conference on Cartography and GIS. Sofia: Bulgarian Cartographic Association, 2012, p. 247-256. ISSN 1314-0604.
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Basic information
Original name UNCERTAINTY VISUALIZATION TESTING
Authors KUBÍČEK, Petr (203 Czech Republic, guarantor, belonging to the institution), Čeněk ŠAŠINKA (203 Czech Republic, belonging to the institution) and Zdeněk STACHOŇ (203 Czech Republic, belonging to the institution).
Edition Sofia, Proceedings of the 4th conference on Cartography and GIS. p. 247-256, 10 pp. 2012.
Publisher Bulgarian Cartographic Association
Other information
Original language English
Type of outcome Proceedings paper
Field of Study Earth magnetism, geodesy, geography
Country of publisher Bulgaria
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14310/12:00067464
Organization unit Faculty of Science
ISSN 1314-0604
UT WoS 000321021000030
Keywords in English uncertainty; cartographic visualisation; testing; MuTeP
Tags ZR
Changed by Changed by: Ing. Zdeňka Rašková, učo 140529. Changed: 25/4/2014 14:09.
Abstract
The issue of spatial data quality and representation of uncertainty related to it has again attracted attention in relation to the INSPIRE Directive. Therefore, a number of approaches and methods of uncertainty visualization has been developed based for example on Bertin’s theory of graphic variables and combining both static and dynamic elements of visualization. Despite partial achievements and existing conceptual approaches to uncertainty visualisation, relatively little is known about specific influence of certain visualization on end users, especially on their ability to use the given visualization in an effective and unambiguous way. The presented paper describes the process of test development for selected methods of cartographic visualization of both positional and thematic uncertainty. The web-based testing application MuTeP was used enabling parallel testing of heterogeneous user groups, automatic recording of test results, and semiautomatic processing for final evaluation.
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