海洋科学：研究与开发

抽象的

Generalized Additive Models Inference of Oceanographic Indicators for the Presence of Anchovy Eggs

Helmi Anja

Three generalized additive models were applied to the distribution of anchovy eggs and oceanographic factors to see the prevalence of anchovy spawning grounds in Korean waters and to spot the indications of their prevalence mistreatment survey information from the spring and summer of 1985, 1995, and 2002. Binomial and mathematician varieties of generalized additive models (GAM) and quantile generalized additive models (QGAM) unconcealed that egg density was influenced principally by ocean temperature and salinity in spring, and also the vertical structure of temperature, salinity, dissolved chemical element, and creature biomass throughout summer within the higher quantiles of egg density. The GAM and QGAM model deviance explained 18.5-63.2% of the egg distribution in summer within the East and West Ocean. For the principle part analysis-based GAMs, the variance explained by the ultimate regression model was 27.3-67.0%, more than the regular models and QGAMs for egg density within the East and West Ocean [1]. By analyzing the distribution of anchovy eggs off the Korean coast, our results unconcealed the best temperature and salinity conditions, additionally to high production and high vertical intermixture, because the key indicators of the most important spawning grounds of anchovies [2].