Publication detail
Geovisto: A Toolkit for Generic Geospatial Data Visualization
HYNEK, J. KACHLÍK, J. RUSŇÁK, V.
Original Title
Geovisto: A Toolkit for Generic Geospatial Data Visualization
Type
conference paper
Language
English
Original Abstract
Today's requirements for visualization of geospatial data are continually rising. Visualization authoring tools provide only limited support for this purpose. The ability to create geovisualizations by non-programmers is often reliant on template editing or visualization authoring tools. However, these tools are often limited either in configuring visual parameters or interaction capabilities. In our work, we identify the main limitations of current tools. Then, we propose design requirements and describe the implementation of Geovisto---a toolkit combining capabilities of the React, Leaflet, and D3.js frameworks in order to provide tools for processing generic geospatial data and creating multilayered reusable map widgets. We demonstrate our approach on two usage scenarios from conceptually different application areas (DDoS attacks from a network monitoring system and COVID-19 pandemics open data). Finally, we discuss the pros and cons of our approach and outline our future work.
Keywords
Geospatial Data, Geovisualizations, Visual Authoring Tools
Authors
HYNEK, J.; KACHLÍK, J.; RUSŇÁK, V.
Released
8. 2. 2021
Publisher
SciTePress - Science and Technology Publications
Location
Setúbal
ISBN
978-989-758-488-6
Book
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Edition
Volume 3: IVAPP
Pages from
101
Pages to
111
Pages count
11
URL
BibTex
@inproceedings{BUT168497,
author="Jiří {Hynek} and Jakub {Kachlík} and Vít {Rusňák}",
title="Geovisto: A Toolkit for Generic Geospatial Data Visualization",
booktitle="Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",
year="2021",
series="Volume 3: IVAPP",
pages="101--111",
publisher="SciTePress - Science and Technology Publications",
address="Setúbal",
doi="10.5220/0010260401010111",
isbn="978-989-758-488-6",
url="https://www.fit.vut.cz/research/publication/12387/"
}
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