Variable Mapper: Developing, Implementing, and Evaluating an Online Tool for Multidimensional Spatial Data Visualization

dc.contributor.authorGamlen, Alanen
dc.contributor.authorGoodwin, Sarahen
dc.contributor.authorHo, Xavieren
dc.date.accessioned2025-05-23T14:22:04Z
dc.date.available2025-05-23T14:22:04Z
dc.date.issued2025en
dc.description.abstractThis paper presents a user study of Variable Mapper, an interactive web-based geospatial visualization tool that aims to address the gap in multidimensional spatial data analysis. In the era of big data, researchers and policymakers often grapple with complex, multi-faceted concepts situated within ‘wicked problems.’ These problems require the investigation of large numbers of interacting social and environmental variables and consider the data with different lenses. However, tools for visually exploring and representing such data remain inaccessible to researchers and policymakers with limited technical expertise. To address this gap, we describe and evaluate a new interactive tool for visualizing multidimensional geospatial data, which has been built in three stages: (1) development of a prototype through a case study of urban ‘superdiversity’, (2) refinement of the prototype by adding a case study of ‘liveability’, and (3) evaluation of the tool through a systematic user study. The paper explains the process of interdisciplinary collaboration in the development, implementation, and evaluation of the tool and discusses the results of the user study. Using mixed-method analysis, we generated six insights based on the user study: situating the data, locating multiple visualizations, making data apparent, comparing small or missing values, challenges in three dimensions, and managing cognitive load. These insights from the development, implementation, and evaluation of Variable Mapper contribute to the wider ongoing challenge of visualizing multidimensional geospatial data.en
dc.description.sponsorshipOpen Access funding enabled and organized by CAUL and its Member Institutions. This research received funding from the Max Planck Institute for the Study of Ethnic and Religious Diversity in Gottingen, Germany, and the Monash Data Futures Institute at Monash University in Melbourne, Australia.en
dc.description.statusPeer-revieweden
dc.format.extent17en
dc.identifier.otherORCID:/0000-0003-1432-0526/work/184102115en
dc.identifier.scopus86000317896en
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=86000317896&partnerID=8YFLogxKen
dc.identifier.urihttps://hdl.handle.net/1885/733752434
dc.language.isoenen
dc.provenanceThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en
dc.rights©2025 The Author(s) en
dc.sourceJournal of Geovisualization and Spatial Analysisen
dc.subjectGeovisualizationen
dc.subjectMultidimensional data visualizationen
dc.subjectUrban analyticsen
dc.titleVariable Mapper: Developing, Implementing, and Evaluating an Online Tool for Multidimensional Spatial Data Visualizationen
dc.typeJournal articleen
dspace.entity.typePublicationen
local.contributor.affiliationGamlen, Alan; School of Regulation & Global Governance, ANU College of Law, Governance and Policy, The Australian National Universityen
local.contributor.affiliationGoodwin, Sarah; Monash Universityen
local.contributor.affiliationHo, Xavier; Monash Universityen
local.identifier.citationvolume9en
local.identifier.doi10.1007/s41651-025-00219-2en
local.identifier.pure0d2e4c3a-6c8b-4cb5-886a-c1e6383c9559en
local.identifier.urlhttps://www.scopus.com/pages/publications/86000317896en
local.type.statusPublisheden

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