A Scalable Spatio-Temporal Analytics Framework for Urban Networks

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

A Scalable Spatio-Temporal Analytics Framework for Urban Networks

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

A Scalable Spatio-Temporal Analytics Framework for Urban Networks

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10100 - Mathematics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Networks in the Global World VI :Proceedings of NetGloW 2022

ISBN

9783031294075

ISSN

2367-3370

e-ISSN

2367-3389

Počet stran výsledku

11

Strana od-do

68-78

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

St. Petersburg

Datum konání akce

22. 6. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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