Data Description: The data is for offshore construction ships, with a total of 110 csv files, Each file stores three years of AIS data for a vessel. For construction vessels, there are generally several activities, such as home, sailing (to and from the construction area), and arriving at the work area.
Requirement1: Divide the three years of AIS data into three years, and use model _ split to identify the three types of ship behavior, which are home, sailing, and arriving at work, and compare them each year, and show them on the same map, similar to the following figure, count and distance
Requirement 2: Same as the original, the speed of the construction ship is divided into three types, less than 5, 5-25, greater than 25 (the need to delete the speed over 40), similar to the figure below
Requirement 3: home _ label and work _ label, the status of the construction ship needs to be labeled home and work respectively, and can reflect the average fraction of each day, month, and quarter
Requirement 4: location _ identification, I will give you a construction area (center point or polygon area), and you need to identify which ships are involved in the construction.
Batchprocess.py can generate an AIS data as staypoint, tripleg (all trajectories between two staypoints), location (generated by staypoint clustering)
Use ORIGIN software.