shipssc

shipssc refers to a collection of Python libraries designed for the analysis of ship trajectories and the processing of Automatic Identification System (AIS) data. These libraries provide tools for data loading, cleaning, feature extraction, and visualization. The primary goal of shipssc is to enable researchers and developers to work with large-scale maritime datasets efficiently.

Key functionalities within shipssc often include parsing AIS messages, which are broadcast by vessels to communicate their identity, position, and other navigational information. The libraries facilitate the conversion of raw AIS data into more structured formats, making it easier to identify individual vessels, track their movements over time, and calculate metrics such as speed, course, and distance traveled.

Furthermore, shipssc can offer capabilities for geospatial analysis. This may involve mapping ship tracks, identifying ports of call, detecting anomalous behavior, or performing cluster analysis on vessel movements. The libraries aim to simplify complex maritime data analysis tasks, making them accessible to a wider audience interested in maritime traffic, logistics, environmental monitoring, and maritime security. The specific components and features can vary depending on the exact implementation or version of the shipssc libraries being referenced.