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Geospatial Analysis and the Internet of Things
Open AccessArticle

Geospatial IoT—The Need for Event-Driven Architectures in Contemporary Spatial Data Infrastructures

1
52°North GmbH, 48155 Münster, Germany
2
National Research Council of Italy, Institute of Atmospheric Pollution Research, 50019 Florence, Italy
3
Geodetic Institute and Chair for Computing in Civil Engineering & GIS, RWTH Aachen University, 52074 Aachen, Germany
4
Digital Economy Unit, Joint Research Centre, European Commission, 21027 Ispra, Italy
5
Artificial Intelligence Group, TU Dortmund University, 44221 Dortmund, Germany
6
Wupperverband, 42289 Wuppertal, Germany
7
Esri Deutschland GmbH, 85402 Kranzberg, Germany
*
Author to whom correspondence should be addressed.
All authors contributed equally to this work.
The views expressed are purely those of the authors and may not in any circumstances be regarded as stating an official position of the European Commission.
ISPRS Int. J. Geo-Inf. 2018, 7(10), 385; https://doi.org/10.3390/ijgi7100385
Received: 6 August 2018 / Revised: 7 September 2018 / Accepted: 21 September 2018 / Published: 25 September 2018
(This article belongs to the Special Issue Geospatial Applications of the Internet of Things (IoT))
The nature of contemporary spatial data infrastructures lies in the provision of geospatial information in an on-demand fashion. Although recent applications identified the need to react to real-time information in a time-critical way, research efforts in the field of geospatial Internet of Things in particular have identified substantial gaps in this context, ranging from a lack of standardisation for event-based architectures to the meaningful handling of real-time information as “events”. This manuscript presents work in the field of event-driven architectures as part of spatial data infrastructures with a particular focus on sensor networks and the devices capturing in-situ measurements. The current landscape of spatial data infrastructures is outlined and used as the basis for identifying existing gaps that retain certain geospatial applications from using real-time information. We present a selection of approaches—developed in different research projects—to overcome these gaps. Being designed for specific application domains, these approaches share commonalities as well as orthogonal solutions and can build the foundation of an overall event-driven spatial data infrastructure. View Full-Text
Keywords: event-driven architectures; asynchronous transactions; sensor web; spatiotemporal data; real-time data; stream processing; spatial data infrastructures; sensor networks event-driven architectures; asynchronous transactions; sensor web; spatiotemporal data; real-time data; stream processing; spatial data infrastructures; sensor networks
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Rieke, M.; Bigagli, L.; Herle, S.; Jirka, S.; Kotsev, A.; Liebig, T.; Malewski, C.; Paschke, T.; Stasch, C. Geospatial IoT—The Need for Event-Driven Architectures in Contemporary Spatial Data Infrastructures. ISPRS Int. J. Geo-Inf. 2018, 7, 385.

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