Studying the Utilization of a Map-Based Visualization with Vitality Datasets by Domain Experts

With the rapid growth of information technology and geographic information science, many map-based visualization applications for decision-making have been proposed. These applications are used in various contexts. Our study provides empirical evidence of how domain experts utilize map-based data vi...

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Bibliographic Details
Published inGeographies Vol. 2; no. 3; pp. 379 - 396
Main Authors Wada, Kenji, Wallner, Günter, Vos, Steven
Format Journal Article
LanguageEnglish
Published 01.09.2022
Online AccessGet full text
ISSN2673-7086
2673-7086
DOI10.3390/geographies2030024

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Summary:With the rapid growth of information technology and geographic information science, many map-based visualization applications for decision-making have been proposed. These applications are used in various contexts. Our study provides empirical evidence of how domain experts utilize map-based data visualization for generating insights into vitality with respect to health-related concepts. We conducted a study to understand domain experts’ knowledge, approach, and experience. Nine domain experts participated in the study, with three experts each from the fields of government, business, and research. The study followed a mixed-methods approach involving an online survey, open-ended tasks, and semi-structured interviews. For this purpose, a map-based data visualization application containing various vitality-related datasets was developed for the open-ended tasks. Our study confirms the importance of maps in this domain but also shows that vitality is strongly geographical. Furthermore, we found that map-based visualizations require multiple data sources and dimensions to enhance the utilization of them in the context of vitality. Therefore, our study suggests the necessity of a combination of multiple datasets as ‘vitality themes’ to efficiently communicate this particular subject to experts. As such, our results provide guidelines for designing map-based data visualizations that support the decision-making process across various domain experts in the field of vitality.
ISSN:2673-7086
2673-7086
DOI:10.3390/geographies2030024