Visualising hidden spatiotemporal patterns at multiple levels of detail
Crimes, forest fires, accidents, infectious diseases, human interactions with mobile devices (e.g., tweets) are being logged as spatiotemporal events. For each event, its geographic location, time and related attributes are known with high levels of detail (LoDs). The LoD plays a crucial role when a...
Main Author: | |
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Other Authors: | , , , , |
Format: | conferencePaper |
Language: | eng |
Published: |
2018
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Subjects: | |
Online Access: | http://hdl.handle.net/1822/66786 |
Country: | Portugal |
Oai: | oai:repositorium.sdum.uminho.pt:1822/66786 |