Name
Abstract | ||
|---|---|---|
The analysis of oceanographic data is a difficult task due to the large volume and multidimensionality of the data. Often is it necessary to aggregate other datasets to establish relationships and more complex analysis in order to answer environmental questions. Thus, this work aims to present different information visualization techniques (InfoVis) for oceanographic data concerning the most frequently used techniques, such as 2D and 3D Charts, Surface Map, Choropleth Map, and Line Map. For this purpose, a dataset of oceanographic buoys from the National Oceanic and Atmospheric Administration (NOAA) covering a period of 02 years (from 2015 to 2016) was used. This set of data was treated and classified according to the seasonal periods (winter, spring, summer, and autumn). The Rose Wind technique revealed that the wind speed average was between 10-12 m/s. The Circle Parking technique showed a predominance of wind and waves from NE. In 2015, highest waves were recorded, mainly during the winter. The obtained results can be considered a useful tool for the assessment of the wind and waves relationship and help to coastal management strategies. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/IV-2.2019.00033 | 2019 23rd International Conference in Information Visualization ??? Part II |
Keywords | DocType | ISSN |
Information Visualization,Visual Analysis,Oceanographic Buoy Data,Temporal Correlation | Conference | 1550-6037 |
ISBN | Citations | PageRank |
978-1-7281-2851-1 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Walbert Cunha Monteiro | 1 | 0 | 0.34 |
| Marcela Cunha Monteiro | 2 | 0 | 0.34 |
| Brunelli Pinto Miranda | 3 | 0 | 0.34 |
| Nelson Cruz Sampaio Neto | 4 | 0 | 0.34 |
| Carlos Gustavo Resque dos Santos | 5 | 2 | 6.46 |
| Bianchi Serique Meiguins | 6 | 56 | 28.03 |