Journal
COMPUTERS & GRAPHICS-UK
Volume 104, Issue -, Pages 1-10Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cag.2022.02.011
Keywords
Visualization; Comparison task; Comparative visualization; Meteorological data; Time series; Time misalignment
Categories
Funding
- Secretaria General de Ciencia y Tecnologia, Universidad Nacional del Sur, Argentina [PGI 25/N050, PGI 24/ZN29, PGI 24/ZN35]
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This paper presents an improved visualization technique for the comparison of large meteorological datasets. The technique is designed to better support users in the data comparison process.
The comparison of meteorological data is a fundamental task within the techniques of meteorological forecasting due to the cyclical nature of the climate. However, interpretation of meteorological datasets can be difficult due to their large size. The goal of information visualization is to support a better understanding of the data what includes assisting the user in the data comparison process. However, few visualization techniques have been specifically developed to support the comparison process of big meteorological data. In this paper, we improved a visualization technique for large time-series comparison. The new technique is more suitable for the comparison of meteorological data. (c) 2022 Elsevier Ltd. All rights reserved.
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