Detail publikace

Geovisto: A Toolkit for Generic Geospatial Data Visualization

HYNEK, J. KACHLÍK, J. RUSŇÁK, V.

Originální název

Geovisto: A Toolkit for Generic Geospatial Data Visualization

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Geospatial Data, Geovisualizations, Visual Authoring Tools

Autoři

HYNEK, J.; KACHLÍK, J.; RUSŇÁK, V.

Vydáno

8. 2. 2021

Nakladatel

SciTePress - Science and Technology Publications

Místo

Setúbal

ISBN

978-989-758-488-6

Kniha

Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

Edice

Volume 3: IVAPP

Strany od

101

Strany do

111

Strany počet

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/"
}