A spatial-temporal analysis on maritime accidents with sample point density clustering

Global maritime accidents have the characteristics of time-space differentiation. By analyzing the data structure of maritime traffic accidents, a method of time-space differentiation analysis of global maritime accidents based on accident point density clustering is proposed. Through the point density analysis method, combined with the data information of maritime traffic accidents in East Asia, the characteristics of time-space variability are studied. The results show that the density centers in East Asia are near the eastern coast of China and the Malay Archipelago, which shows that the eastern coastal waters of China and the Malacca Strait are always hot spots for accidents in East Asia. The density analysis results of Southeast Asia in different periods show the changing trend of the density of maritime accidents in East Asia. By studying the accident density of different severity, it is found that the density analysis results of very serious accidents and general accidents are almost the same.