对得到河流图像确定类型分类特征，并给出了特征向量计算方法；
The type classification of river characteristics was determined on the obtained images, and the eigenvector method was given.
根据第一主成分和第二主成分的特征向量计算各时间段的第一主成分和第二主成分的指标值。
Then utilizing principal component analysis, the author analyzed the data of each period and concluded that the first and second principal component's accumulative proportion is more than 85 percent.
根据各时段各主成分的特征向量计算出主成分的指标值。并分析得出各个时间段的耕地变化驱动因子。
Indicators of each principal component were calculated according to the eigenvalues of each of them, and driving forces of cultivated land in each period can acquired.
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