Quality control from the perspective of a near-real-time, spatial-temporal data aggregator and (re)distributor

Quality control for near-real-time spatial-temporal data is often presented from the perspective of the original owner and provider of the data, and focuses on general techniques for outlier detection or uses domain-specific knowledge and rules to assess quality. The impact of quality control on the data aggregator and redistributor is neglected. The focus of this paper is to define and demonstrate quality control measures for real-time, spatial-temporal data from the perspective of the aggregator to provide tools for assessment and optimization of system operation and data redistribution. We define simple measures that account for temporal completeness and spatial coverage. The measures and methods developed are tested on real-world data and applications.