Anomaly detection in time-series – RoVaD

Anomaly detection in time-series

For a client we developed tailor-made algorithms for anomaly detection in air and hydrostatic pressure time-series. These algorithms were documented and implemented in gwloggeR, a R package made publicly available on github.

To make the results understandable, the package also output diagnostic plots such as these: