Uncertainty in Geographic Data on Bivariate Maps: An Examination of Visualization Preference and Decision Making

dc.contributor.authorScholz, Ruojing W.
dc.contributor.authorLu, Yongmei
dc.date.accessioned2021-07-01T13:24:04Z
dc.date.available2021-07-01T13:24:04Z
dc.date.issued2014-10
dc.description.abstractUncertainty exists widely in geographic data. However, it is often disregarded during data analysis and decision making. Proper visualization of uncertainty can help map users understand uncertainty in geographic data and make informed decisions. The study reported in this paper examines map users’ perception of and preferences for different visual variables to report uncertainty on bivariate maps. It also explores the possible impact that knowledge and training in Geographic Information Sciences and Systems (GIS) may have on map users’ decision making with uncertainty information. A survey was conducted among college students with and without GIS training. The results showed that boundary fuzziness and color lightness were the most preferred visual variables for representing uncertainty using bivariate maps. GIS knowledge and training was found helpful for some survey participants in their decision making using bivariate uncertainty maps. The results from this case study provide guidance for reporting uncertainty on bivariate maps, aiming at encouraging informed decision making.
dc.description.departmentGeography and Environmental Studies
dc.formatText
dc.format.extent18 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationScholz, R. W., & Lu, Y. (2014). Uncertainty in geographic data on bivariate maps: An examination of visualization preference and decision making. International Journal of Geo-Information, 3(4), pp. 1180-1197.
dc.identifier.doihttps://doi.org/10.3390/ijgi3041180
dc.identifier.issn2220-9964
dc.identifier.urihttps://hdl.handle.net/10877/13798
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute
dc.rights.holder© 2014 The Authors.
dc.rights.licenseThis work is licensed under a Creative Commons Attribution 4.0 International License.
dc.sourceInternational Journal of Geo-Information, 2014, Vol. 3, No. 4, pp. 1180-1197.
dc.subjectbivariate map
dc.subjectuncertainty visualization
dc.subjectdecision making
dc.subjectvisual variable
dc.subjectgeographic Information Sciences and Systems (GIS)
dc.subjectGeography and Environmental Studies
dc.titleUncertainty in Geographic Data on Bivariate Maps: An Examination of Visualization Preference and Decision Making
dc.typeArticle

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