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Methods of Data Processing and Communication for a Web-based Wind Flow Visualization

  • This paper presents methods for the reduction and compression of meteorological data for web-based wind flow visualizations, which are tailored to the flow visualization technique. Flow data sets represent a large amount of data and are therefore not well suited for mobile networks with low data throughput rates and high latency. Using the mechanisms introduced in this paper, an efficient transfer of thinned out and compressed data can be achieved, while keeping the accuracy of the visualized information almost at the same quality level as for the original data.

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Metadaten
Document Type:Conference Object
Language:English
Author:Marc Skutnik, Luigi Lo Iacono, Christian Neuhaus
Parent Title (English):Proceedings of the 12th International Conference on Web Information Systems and Technologies, Volume 1: WEBIST, 2016 , Rome, Italy
Number of pages:10
First Page:32
Last Page:41
ISBN:978-989-758-186-1
DOI:https://doi.org/10.5220/0005846800320041
Publisher:SciTePress
Date of first publication:2016/05/09
Keyword:Data Compression; Data Reduction; Data Tiles; Difference-coding; Wind Fields; Wind Flow Visualization
Departments, institutes and facilities:Institut für Cyber Security & Privacy (ICSP)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 005 Computerprogrammierung, Programme, Daten
Entry in this database:2021/06/30