Crafting Visualizations of Time-Oriented Data-Reference-Cited by-同舟云学术

Crafting Visualizations of Time-Oriented Data

Published:2023 Issue: Volume: Page:83-127
ISSN:1571-5035
Container-title:Human–Computer Interaction Series
language:
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Author:

Aigner Wolfgang,Miksch Silvia,Schumann Heidrun,Tominski Christian

Abstract

AbstractMany different types of data are related to time. Meteorological data, financial data, census data, medical data, simulation data, news articles, photo collections, or project plans, to name only a few examples, all contain temporal information. In theory, because all these data are time-oriented, they should be representable with one and the same visualization approach. In practice, however, the data exhibit specific characteristics and hence each of the above examples requires a dedicated visualization.

Publisher

Springer London

Link

https://link.springer.com/content/pdf/10.1007/978-1-4471-7527-8_4

Reference89 articles.

1. Aigner, W., C. Kainz, R. Ma, and S. Miksch. 2011. BertinWas Right: An Empirical Evaluation of Indexing to Compare Multivariate Time-Series Data Using Line Plots. Computer Graphics Forum 30 (1): 215–228. https://doi.org/10.1111/j.1467-8659.2010.01845.x.

2. Aigner, W., S. Miksch, W. Müller, H. Schumann, and C. Tominski. 2007. Visualizing Time-Oriented Data - A Systematic View. Computers & Graphics 31 (3): 401–409. https://doi.org/10.1016/j.cag.2007.01.030.

3. Aigner, W., S. Miksch, W. Müller, H. Schumann, and C. Tominski. 2008. Visual Methods for AnalyzingTime-Oriented Data. IEEE Transactions onVisualization and Computer Graphics 14 (1): 47–60. https://doi.org/10.1109/TVCG.2007.70415.

4. Aigner, W., S. Miksch, B. Thurnher, and S. Biffl. 2005. PlanningLines: Novel Glyphs for Representing Temporal Uncertainties and Their Evaluation. In Proceedings of the International Conference Information Visualisation (IV), 457–463. IEEE Computer Society. https://doi.org/10.1109/IV.2005.97.

5. Albers, D., M. Correll, and M. Gleicher. 2014. Task-Driven Evaluation of Aggregation in Time Series Visualization. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI), 551–560. ACM Press. https://doi.org/10.1145/2556288.2557200.