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Big Data Visualisation

: Esbrí, Miguel Ángel; Klien, Eva; Charvát, Karel; Zinke-Wehlmann, Christian; Hitado, Javier; Södergård, Caj

Volltext ()

Södergård, Caj (Editor):
Big Data in Bioeconomy : Results from the European DataBio Project
Cham: Springer Nature, 2021
ISBN: 978-3-030-71068-2 (Print)
ISBN: 978-3-030-71071-2
ISBN: 978-3-030-71069-9 (Online)
ISBN: 978-3-030-71070-5
DOI: 10.1007/978-3-030-71069-9
Aufsatz in Buch, Elektronische Publikation
Fraunhofer IGD ()
Lead Topic: Smart City; Lead Topic: Visual Computing as a Service; Research Line: Computer graphics (CG); geovisualization; geospatial data; Big Data; Cloud Computing

In this chapter, we introduce the topic of big data visualization with a focus on the challenges related to geospatial data. We present several efficient techniques to address these challenges. We then provide examples from the DataBio project of visualisation solutions. These examples show that there are many technologies and software components available for big data visualisation, but they also point to limitations and the need for further research and development.