 The paper presents an unsupervised and incremental learning approach called TRED to extract maritime movement patterns from raw AIS data, which can be used for anomaly detection and projecting future trajectories and patterns. The methodology is designed to handle different levels of intermittency, sensor coverage and performance, persistence, and data sources. This article was authored by Karna Brayan, Juliana Pilata, and Michelle Visp.