| dc.creator | Urribarri, Dana | |
| dc.creator | Larrea, Martín | |
| dc.date | 2022-05 | |
| dc.date.accessioned | 2023-08-31T00:52:43Z | |
| dc.date.available | 2023-08-31T00:52:43Z | |
| dc.identifier | https://digital.cic.gba.gob.ar/handle/11746/11718 | |
| dc.identifier | https://doi.org/10.1016/j.cag.2022.02.011 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8543902 | |
| dc.description | 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. | |
| dc.format | application/pdf | |
| dc.language | Inglés | |
| dc.relation | DOI: 10.1016/j.cag.2022.02.011 | |
| dc.rights | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Ciencias de la Computación | |
| dc.subject | Visualization | |
| dc.subject | Comparison task | |
| dc.subject | Comparative visualization | |
| dc.subject | Meteorological data | |
| dc.subject | Time series | |
| dc.subject | Time misalignment | |
| dc.title | A visualization technique to assist in the comparison of large meteorological datasets | |
