Publication:
Universal System for Visualizing Geo-Referenced Data - Speed Vector Data

Дата
2023
Авторы
Voronina, N. N.
Zapevalov, A. S.
Journal Title
Journal ISSN
Volume Title
Издатель
Научные группы
Организационные подразделения
Выпуск журнала
Выпуск журнала
Научная визуализация
15 - 3
Аннотация
In 2016, an article [1] was published in the Scientific Visualization No. 1 journal, which marked the beginning of a series of publications, in one way or another related to the visualization of georeferenced data. In 2023, an article [2] was published in the journal Scientific Visualization, which continued this series. This article describes step by step the process of developing and debugging a software product for visualizing geophysical data with their subsequent layout on a Yandex satellite map. The initial information for building maps was a text file containing three columns of data: two columns are geographic coordinates, the third column is a scalar parameter, such as temperature or salinity. The presented work is a direct continuation of this series. It describes the procedure for visualizing vector geophysical parameters on the Yandex satellite map, for example, such as current velocity or wind speed. The visualization procedure for vector parameters is based on a similar procedure previously developed for scalar parameters. The paper describes in detail the process of developing and debugging, modifying a software product, the ultimate goal of which is to visualize only the geophysical velocity parameter with subsequent display on the Yandex satellite map in accordance with the geographic coordinates that are set as input. The software product is a fully debugged complete module that can work both in standalone mode and in a complex aimed at superimposing the result obtained on the Yandex satellite map.
Описание
Ключевые слова
PHP programming language , velocity vector , Yandex satellite map , visualization , georeferenced data
Цитирование
N.N. Voronina, A. S. Zapevalov. Universal System for Visualizing Geo-Referenced Data - Speed Vector Data (2023). Scientific Visualization 15.3: 18 - 25, DOI: 10.26583/sv.15.3.03
Коллекции