Visual analytics for maritime domain awareness

Abstract

Maintaining situation awareness in the maritime domain is a challenging mandate. Task analysis activities were conducted to identify where visual analytics science and technology could improve maritime domain awareness and reduce information overload. Three promising opportunities were identified: the visualization of normal maritime behaviour, anomaly detection, and the collaborative analysis of a vessel of interest. In this paper, we describe the result of our user studies along with potential visual analytics solutions and features considered for a maritime analytics prototype.