Encyclopedia of Big Data Technologies

Living Edition
| Editors: Sherif Sakr, Albert Zomaya


  • Ahmed EldawyEmail author
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-63962-8_67-1



Visualization of big spatial data is the process of generating a pictorial representation of a spatial dataset. What signifies spatial data visualization is that the spatial attributes in the data, e.g., lines and polygons, are mainly used to produce the generated image which results in a wide range of possible visualizations.


Visualization is one of the most important features used with spatial data processing as it gives a bird’s-eye view of the data. It is a natural way to browse and interact with spatial data. As the spatial data gets bigger, interactive visualization of such data is a paramount need for scientists in various domains. It helps in identifying interesting patterns, anomalies, or special conditions which are usually hard to detect. For example, biochemists use visualization to predict protein structure (Cooper et al. 2010), planetary scientists found ice on Mars by visualizing thermal images (Smith et al. 2016),...

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringUniversity of CaliforniaRiversideUSA

Section editors and affiliations

  • Timos Sellis
    • 1
  • Aamir Cheema
  1. 1.Data Science Research InstituteSwinburne University of TechnologyMelbourneAustralia