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

https://www.fit.vut.cz/research/publication/12387/

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/"
}