A Scalable Spatio-Temporal Analytics Framework for Urban Networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F23%3A00137487" target="_blank" >RIV/00216224:14310/23:00137487 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-29408-2_5" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-29408-2_5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-29408-2_5" target="_blank" >10.1007/978-3-031-29408-2_5</a>

Result language
angličtina
Original language name
A Scalable Spatio-Temporal Analytics Framework for Urban Networks
Original language description
Numerous real-world processes and events, especially in the urban domain, are represented with spatio-temporal transactional data (STTD): examples include human and vehicle mobility, communication, and economic transactions. Despite the overwhelming variability of such data sets they can be seen as having very much in common, including their structure as well as the analytic and visualization challenges they face. The present paper describes an idea of an analytic platform implementing an underlying general data model as well as the analytic and modeling tools for STTD. The platform is intended to provide increased scalability of the STTD-driven applications enabling broad reuse of the most common analytic and visualization solutions in multiple contexts of urban analytics.
Czech name
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Czech description
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Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Networks in the Global World VI :Proceedings of NetGloW 2022
ISBN
9783031294075
ISSN
2367-3370
e-ISSN
2367-3389
Number of pages
11
Pages from-to
68-78
Publisher name
Springer
Place of publication
Cham
Event location
St. Petersburg
Event date
Jun 22, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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