Summary of the top three generalised additive models (GAMs) to explain the distribution of humpback whales in each respective study site based on Akaike Information Criterion (AIC). The final, selected model used in predicting humpback whale distribution are highlighted in bold. x and y represent the easting and northing in kilometres from the centre of the study area. CI = 95% Confidence Intervals of estimated abundance and CV = Coefficient of variation for the final, selected spatial model.

Summary of the top three generalised additive models (GAMs) to explain the distribution of humpback whales in each respective study site based on Akaike Information Criterion (AIC). The final, selected model used in predicting humpback whale distribution are highlighted in bold. x and y represent the easting and northing in kilometres from the centre of the study area. CI = 95% Confidence Intervals of estimated abundance and CV = Coefficient of variation for the final, selected spatial model.

本内容为基于赤池信息准则（Akaike Information Criterion, AIC），针对各对应研究区域内解释座头鲸分布的前三优广义可加模型（generalised additive models, GAMs）的汇总结果。本次用于预测座头鲸分布的最终选定模型以粗体标注。x与y分别代表以研究区域中心为原点的东向、北向公里级坐标。CI为估计丰度的95%置信区间（Confidence Intervals, CI），CV为最终选定空间模型的变异系数（Coefficient of variation, CV）。