Eigenvalue and eigenvector information is stored in the output maps' history files. View with r.info.
g.region rast=lsat7_2002_10 -p i.pca in=lsat7_2002_10,lsat7_2002_20,lsat7_2002_30,lsat7_2002_40,lsat7_2002_50,lsat7_2002_70 \ out=lsat7_2002_pca r.info -h lsat7_2002_pca.1 Eigen values, (vectors), and [percent importance]: PC1 4334.35 ( 0.2824, 0.3342, 0.5092,-0.0087, 0.5264, 0.5217) [83.04%] PC2 588.31 ( 0.2541, 0.1885, 0.2923,-0.7428,-0.5110,-0.0403) [11.27%] PC3 239.22 ( 0.3801, 0.3819, 0.2681, 0.6238,-0.4000,-0.2980) [ 4.58%] PC4 32.85 ( 0.1752,-0.0191,-0.4053, 0.1593,-0.4435, 0.7632) [ 0.63%] PC5 20.73 (-0.6170,-0.2514, 0.6059, 0.1734,-0.3235, 0.2330) [ 0.40%] PC6 4.08 (-0.5475, 0.8021,-0.2282,-0.0607,-0.0208, 0.0252) [ 0.08%]
Vali, Ali R., Personal communication, Space Research Center, University of Texas, Austin, 1990.
i.cca,
i.class,
i.fft,
i.ifft,
m.eigensystem,
r.covar,
r.mapcalc
Principal Components Analysis article
(GRASS Wiki)
Major modifications for GRASS 4.1 were made by
Rewritten for GRASS 6.x and major modifications by
Last changed: $Date: 2014-05-15 23:01:15 +0200 (Thu, 15 May 2014) $
Main index - imagery index - Full index © 2003-2014 GRASS Development TeamAUTHOR
David Satnik, GIS Laboratory
Olga Waupotitsch and
Michael Shapiro,
U.S.Army Construction Engineering
Research Laboratory
Brad Douglas