A Visual Analytics Approach for Extracting Spatio-Temporal Urban Mobility Information from Mobile Network Traffic
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| datacite.relatedItem.relatedItemIdentifier | 2220-9964 | |
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| datacite.relatedItem.title | IJGI | |
| datacite.relatedItem.volume | 1 | |
| dc.contributor.author | Günther Sagl | |
| dc.contributor.author | Martin Loidl | |
| dc.contributor.author | Euro Beinat | |
| dc.date.accessioned | 2025-05-14T13:23:52Z | |
| dc.date.available | 2025-05-14T13:23:52Z | |
| dc.date.issued | 2012 | |
| dc.identifier.doi | https://doi.org/10.3390/ijgi1030256 | |
| dc.identifier.other | jz000146-0014 | |
| dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/23170 | |
| dc.publisher | MDPI AG | |
| dc.rights.uri | https://creativecommons.org/licenses/by/3.0/ | |
| dc.subject.ddc | 550 | |
| dc.title | A Visual Analytics Approach for Extracting Spatio-Temporal Urban Mobility Information from Mobile Network Traffic | |
| dc.type | Article | |
| dcat.distribution.pdf | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/23171 | |
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