Supporting understanding of complex spatio-temporal relationships with multi-perspective visualizations linked through smooth display transitions

Data and information structures of a wide range of specialist areas are increasingly comprehensive and complex.In response, the development of approaches for explorative and communicative visualization of such complex content is a topical and dynamic field of research.While, for example, we can fall back on bar charts for simple quantity visualizations, such 'go-to' visualization methods are harder to identify for complex hierarchical and multidimensional spatial or spatio-temporal data.Our ongoing work aims at identifying existing methods that offer guidance and proposing and testing additional generic approaches to support the spatial visualization of complex spatio-temporal data and structures and their interrelationship.The methods should be generic in the sense that they guide the development of visualizations and are transferable to different data and topics, without hindering adjustments and expression of the specific topics.

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Publication Details

Journal
Abstracts of the ICA
Published
2025-12-12
DOI
https://doi.org/10.5194/ica-abs-10-22-2025
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00

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article

Supporting understanding of complex spatio-temporal relationships with multi-perspective visualizations linked through smooth display transitions

Susanne Bleisch, Carolin Bronowicz
Abstracts of the ICA
Data Visualization and Analytics
article

Supporting understanding of complex spatio-temporal relationships with multi-perspective visualizations linked through smooth display transitions

Susanne Bleisch, Carolin Bronowicz
article en

Abstract

Data and information structures of a wide range of specialist areas are increasingly comprehensive and complex.In response, the development of approaches for explorative and communicative visualization of such complex content is a topical and dynamic field of research.While, for example, we can fall back on bar charts for simple quantity visualizations, such 'go-to' visualization methods are harder to identify for complex hierarchical and multidimensional spatial or spatio-temporal data.Our ongoing work aims at identifying existing methods that offer guidance and proposing and testing additional generic approaches to support the spatial visualization of complex spatio-temporal data and structures and their interrelationship.The methods should be generic in the sense that they guide the development of visualizations and are transferable to different data and topics, without hindering adjustments and expression of the specific topics.

Abstracts of the ICAVol. 10
FHNW University of Applied Sciences and Arts Northwestern Switzerland (CH)
National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 58%
Data Visualization and Analytics
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