可视化地理参考数据的通用系统-速度矢量数据

Q4 Computer Science Scientific Visualization Pub Date : 2023-09-01 DOI:10.26583/sv.15.3.03
N.N. Voronina, A.S. Zapevalov
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引用次数: 0

摘要

2016年,一篇文章[1]发表在《科学可视化》第1期期刊上,这标志着一系列与地理参考数据可视化相关的出版物的开始。2023年,一篇文章b[2]发表在《科学可视化》杂志上,延续了这个系列。本文逐步介绍了开发和调试用于在Yandex卫星地图上可视化地球物理数据及其后续布局的软件产品的过程。建筑地图的初始信息是一个包含三列数据的文本文件:两列是地理坐标,第三列是标量参数,例如温度或盐度。本次展出的作品是本系列的直接延续。它描述了在Yandex卫星地图上可视化矢量地球物理参数的过程,例如,当前速度或风速。矢量参数的可视化程序是基于先前为标量参数开发的类似程序。本文详细描述了一个软件产品的开发、调试、修改过程,最终目的是将地球物理速度参数按照设定为输入的地理坐标,在Yandex卫星地图上可视化显示。该软件产品是一个经过充分调试的完整模块,既可以在独立模式下工作,也可以在综合体中工作,目的是将获得的结果叠加在Yandex卫星地图上。
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Universal System for Visualizing Geo-Referenced Data - Speed Vector Data
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.
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来源期刊
Scientific Visualization
Scientific Visualization Computer Science-Computer Vision and Pattern Recognition
CiteScore
1.30
自引率
0.00%
发文量
20
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