Preprint Article Version 1 This version is not peer-reviewed

GeoSpatial IoT - the Need for an Event-Driven Spatial Data Infrastructure

Version 1 : Received: 6 August 2018 / Approved: 7 August 2018 / Online: 7 August 2018 (03:54:13 CEST)

A peer-reviewed article of this Preprint also exists.

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. 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.

Journal reference: ISPRS Int. J. Geo-Inf. 2018, 7, 385
DOI: 10.3390/ijgi7100385

Abstract

The nature of contemporary Spatial Data Infrastructures lies in the provision of geospatial information in an on-demand fashion. Though recent applications identified the need to react to real-time information in a time-critical way. In particular, research efforts in the field of geospatial Internet of Things have identified substantial gaps in this context, ranging from a lack of standardization for event-based architectures to the meaningful handling of real-time information as ''events''. This manuscript presents work in the field of Event-driven 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.

Subject Areas

event-driven architectures; asynchronous transactions; sensor web; spatio-temporal data; real-time data; stream processing; spatial data infrastructures; sensor networks

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