An Analytics Platform for Integrating and Computing Spatio-Temporal Metrics
comunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/8634
comunitat-uji-handle4:
INVESTIGACIONMetadata
Title
An Analytics Platform for Integrating and Computing Spatio-Temporal MetricsDate
2019Publisher
MDPIISSN
2220-9964Bibliographic citation
RODRÍGUEZ-PUPO, L.E.; GRANELL, C.; CASTELEYN, S. An analytics platform for integrating and computing spatio-temporal metrics. ISPRS International Journal of Geo-Information, 2019, vol. 8, no 2, p. 54.Type
info:eu-repo/semantics/articlePublisher version
https://www.mdpi.com/2220-9964/8/2/54Version
info:eu-repo/semantics/publishedVersionSubject
Abstract
In large-scale context-aware applications, a central design concern is capturing, managing
and acting upon location and context data. The ability to understand the collected data and define
meaningful contextual ... [+]
In large-scale context-aware applications, a central design concern is capturing, managing
and acting upon location and context data. The ability to understand the collected data and define
meaningful contextual events, based on one or more incoming (contextual) data streams, both for
a single and multiple users, is hereby critical for applications to exhibit location- and context-aware
behaviour. In this article, we describe a context-aware, data-intensive metrics platform —focusing
primarily on its geospatial support—that allows exactly this: to define and execute metrics, which
capture meaningful spatio-temporal and contextual events relevant for the application realm.
The platform (1) supports metrics definition and execution; (2) provides facilities for real-time,
in-application actions upon metrics execution results; (3) allows post-hoc analysis and visualisation
of collected data and results. It hereby offers contextual and geospatial data management and
analytics as a service, and allow context-aware application developers to focus on their core
application logic. We explain the core platform and its ecosystem of supporting applications and
tools, elaborate the most important conceptual features, and discuss implementation realised through
a distributed, micro-service based cloud architecture. Finally, we highlight possible application fields,
and present a real-world case study in the realm of psychological health. [-]
Is part of
ISPRS International Journal of Geo-Information. 2019; 8(2):54Investigation project
Ramón y Cajal Programme of the Spanish government: grant numbers RYC-2014-16606 and RYC-2014-16913Rights
info:eu-repo/semantics/openAccess
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- LSI_Articles [362]
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