Visual Analytics for Spatiotemporal Cluster Analysis
abstract: Traditionally, visualization is one of the most important and commonly used methods of generating insight into large scale data. Particularly for spatiotemporal data, the translation of such data into a visual form allows users to quickly see patterns, explore summaries and relate domain k...
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Format: | Doctoral Thesis |
Language: | English |
Published: |
2016
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Online Access: | http://hdl.handle.net/2286/R.I.38465 |