Big Data Visualisation

Miguel Ángel Esbrí (Corresponding author), Eva Klien, Karel Charvát, Christian Zinke-wehlmann, Javier Hitado, Caj Södergård

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review


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.
Original languageEnglish
Title of host publicationBig Data in Bioeconomy
Subtitle of host publicationResults from the European DataBio Project
EditorsCaj Södergård, Tomas Mildorf, Ephrem Habyarimana, Arne J. Berre, Jose A. Fernandes, Christian Zinke-Wehlmann
ISBN (Electronic)978-3-030-71069-9
ISBN (Print)978-3-030-71068-2
Publication statusPublished - 14 Aug 2021
MoE publication typeA3 Part of a book or another research book


  • Visualisation graphics
  • 3D
  • time series
  • multidimensional
  • simplification and generalisation
  • raster and vector tiling
  • GPUs
  • web clients
  • linked open data


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