Guo, Y.; Li, F., and Du, Q.Y., 2020. Research on key technologies of spatio-temporal analysis and prediction of marine ecological environment based on association rule mining analysis. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 302-307. Coconut Creek (Florida), ISSN 0749-0208.
With the upsurge of Marine development, Marine ecological environment is polluted, ecosystem structure degradation, red tide and other environmental problems. Aiming at the demand of spatio-temporal correlation analysis and dynamic prediction of Marine ecological environment, this paper analyzes the spatio-temporal evolution pattern of Marine ecological and marine conditions from the perspectives of distribution characteristics, distribution patterns and spatio-temporal variations. In order to explore the correlation and correlation between the temporal and spatial evolution of Marine ecological environment phenomena and environmental factors, a temporal and spatial mining analysis framework based on association rules was designed.