Synonyms
Definitions
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.
Overview
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),...
Keywords
- Pyramid Partitions
- Spatial Data Visualization
- Entire Input Space
- Single Image Level
- Multilevel Visualization
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References
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Eldawy, A. (2018). Visualization. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_67-1
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DOI: https://doi.org/10.1007/978-3-319-63962-8_67-1
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