A formal model to infer geographic events from sensor observations

The Sensor Web provides wider access to sensors and their observations via the Web. A key challenge is to infer information about geographic events from these observations. A systematic approach to the representation of domain knowledge is vital when reasoning about events due to heterogeneous observational sources. This article delivers a formal model capturing the relations between observations and events. The model is exploited with a rule-based mechanism to infer information about events from in-situ observations. The article also describes how the model’s vocabularies are used to formulate spatiotemporal queries. A use case for reasoning about blizzard events based on real time series illustrates the formal model

GNSS maps in environmental monitoring

© Springer International Publishing AG 2018. Traditionally, maps have been produced by plotting features on paper at a given scale, calling upon a variety of cartographic skills. The advent of computers, satellite data, and geographical information system (GIS), however, has revolutionized the art of map production, with the modern day cartographer required to master computer skills for the purpose of not only the production, but also the management of digital maps