James N. Hughes, Matthew D. Zimmerman, Christopher N. Eichelberger, Anthony D. Fox
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A survey of techniques and open-source tools for processing streams of spatio-temporal events
With the rise of location-aware IoT devices, there is an increased desire to process data streams in a real-time manner. Responding to such streams may require processing data from multiple streams to inform decisions. There are many uses cases for putting the location data from the sensors or an analytic derivative on a map for a live view of sensors or other assets. Here we describe an architecture which relies solely on free and open-source components to provide streaming spatio-temporal event processing, analysis, and near-real-time visualization.