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Mobility Data Science Discussion Paper
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| Definitionskos:definition | Almost every activity in our modern life leaves a digital trace, typically including location and time. Either captured by a sensor, manually input, or extracted from a social media post, the increase in the volume, variety, and velocity of spatiotemporal data is unprecedented. The ability to manage and analyze this data is important for many application domains, including smart cities, health, transportation, agriculture, sports, biodiversity, et cetera. It is critical to not only effectively manage and analyze the data but also to uphold privacy and ethical considerations. Since the civilian use of GPS was allowed in 1980, followed by the technological advances in other location tracking systems – wifi, RFID, bluetooth, etc., it is becoming more and more easy to track moving objects. The Mobility Data Science Summit was an opportunity to discuss the challenges of managing this data and making sense of it, with a focus on the tooling and standardization requirements. |
|---|---|
| Broaderbroader | Discussion Paper |
| http://purl.org/dc/terms/createdcreated | 2024-01-29 |
| Creatorcreator | Song WU, Mahmoud SAKR |
| seeAlsoseeAlso | https://docs.ogc.org/dp/23-056.html |
| Statusstatus | valid |
| Notationnotation | 23-056 |
| Alternative LabelaltLabel | 23-056 |
| Mobility Data Science Discussion Paper | |
| OGC document typedoctype | Discussion Paper |