Big Data Visualisation

  • Esbrí M
  • Klien E
  • Charvát K
  • et al.
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Abstract

Sixteen major big data pipelines were formed with great potential to be exploited. Besides its large scale, DataBio, as a lighthouse project, spent great effort in contributing to and engaging the research and bioeconomy communities. DataBio was the lead project in defining the BDVA3 Reference Model, while also contributing to public OGC4 Engineering Reports on the standardization of Earth Observation services. It organized or participated in over 180 events, including high-profile conferences, stakeholder events, training sessions and hackathons. This book summarizes some of the main results from the breadth of the DataBio activities. It is divided into eight parts: the first four parts represent the relevant big data technologies that are the foundation for building bioeconomy solutions. The next three parts describe the applications in each of the three domains addressed: agriculture, forestry and fishery. The final part provides a summary and outlook for big data exploitation in bioeconomy. 3 Big Data Value Association, www.bdva.eu. 4 Open Geospatial Consortium, www.ogc.org. vii

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APA

Esbrí, M. Á., Klien, E., Charvát, K., Zinke-Wehlmann, C., Hitado, J., & Södergård, C. (2021). Big Data Visualisation. In Big Data in Bioeconomy (pp. 169–184). Springer International Publishing. https://doi.org/10.1007/978-3-030-71069-9_13

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