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楼主 |
发表于 2013-7-14 08:31:04
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@Sylvia:
问题产生过程的详细描述如下:
1、原始数据:
9*300矩阵 9个水文站300月的径流量数据 01_水文88-12年_Q.xls
7*300矩阵 7个气象站300月的降水量数据 02_降水88-12年_Q.xls
7*300矩阵 7个气象站300月的平均气温数据 03_气温88-12年_Q.xls
2、使用matlab的zscore函数,对上面数据进行标准化,再应用fortan将标准化后的数据转成grd二进制文件
hydrology9sta.grd rain7sta.grd temp7sta.grd
3、使用坛子里面曾记否的svd程序,分别对降水与径流、气温与径流进行奇异值分解
svd.for
4、结果信息出现错误如下:
降水与径流:
The total squared covariance= 28.35496
l=0(l=0 indicate that call subroutine UAV(SVD) normal finished,else unnormal finished)
The sum of squared singular value= 28.35496
According to properties of SVD, the sum of squaredsingular value must
be equal to the squared covariance!
The singular values:
5.319 0.240 0.072 0.037 0.024
The percentage of the squared covariance explained by a single pair of patterns (give first NP pairs) is:
99.77 0.20 0.02 0.00 0.00
气温与径流
The total squared covariance= 19.95920
l=0(l=0 indicate that call subroutine UAV(SVD) normal finished,else unnormal finished)
The sum of squared singular value= 19.95920
According to properties of SVD, the sum of squaredsingular value must
be equal to the squared covariance!
The singular values:
4.468 0.013 0.005 0.003 0.001
The percentage of the squared covariance explained by a single pair of patterns (give first NP pairs) is:
100.00 0.00 0.00 0.00 0.00
时间序列,附图说明错误,整个过程所用的原始资料和程序打包上传,thanks.rar
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