空间；向量；思维，以人为经纬。
根据3个主成分各自对应的特征向量特点，分别解释为人为因子、温度因子和降水因子并进行回归分析。
According to the corresponding eigenvectors, the 3 principal components were explained as the anthropogenic factor, the temperature factor, and the precipitation factor.
同时利用粒子群算法优化小波最小二乘支持向量机的参数，避免了人为选择参数的盲目性，从而提高了模型的预测精度。
The adaptive particle swarm optimization is used to optimize the parameters of SVM so as to avoid artificial arbitrariness and enhance the forecast accuracy.
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