Next Article in Journal
The Distribution Pattern of the Railway Network in China at the County Level
Previous Article in Journal
Fleet Size and Rebalancing Analysis of Dockless Bike-Sharing Stations Based on Markov Chain
Open AccessArticle

Multi-Scale Flow Field Mapping Method Based on Real-Time Feature Streamlines

1
Key Laboratory of Surveying and Mapping Technology on Island and Reef, Ministry of Natural Resources, Shandong University of Science and Technology, Qingdao 266590, China
2
Qingdao Yuehai Information Service Co., Ltd., Qingdao 266590, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(8), 335; https://doi.org/10.3390/ijgi8080335
Received: 4 July 2019 / Revised: 23 July 2019 / Accepted: 28 July 2019 / Published: 30 July 2019
  |  
PDF [8332 KB, uploaded 30 July 2019]
  |  

Abstract

Traditional static flow field visualization methods suffer from many problems, such as a lack of continuity expression in the vector field, uneven distribution of seed points, messy visualization, and time-consuming calculations. In response to these problems, this paper proposes a multi-scale mapping method based on real-time feature streamlines. The method uses feature streamlines to solve the problem of continuity expression in flow fields and introduces a streamline tracking algorithm which combines adaptive step length with velocity matching to render feature streamlines in a real-time and multi-scale way. In order to improve the stability and uniformity of the seed point layout, this method uses two different point placement methods which utilize a global regular grid distribution algorithm and feature area random distribution algorithm. In addition, this method uses a collision detection algorithm to detect and deal with the unreasonable covering between streamlines, which alleviates visual confusion in the resulting drawing. This method also uses HTML5 Canvas to render streamlines, which greatly improves the drawing speed. Therefore, use of this method can not only improve the uniformity of the seed point layout and the speed of drawing but also solve the problems of continuity expression in the vector field and messy visualization. View Full-Text
Keywords: ocean current; visualization; map representation; streamline tracking ocean current; visualization; map representation; streamline tracking
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Fang, Y.; Ai, B.; Fang, J.; Xin, W.; Zhao, X.; Lv, G. Multi-Scale Flow Field Mapping Method Based on Real-Time Feature Streamlines. ISPRS Int. J. Geo-Inf. 2019, 8, 335.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top