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covariance matrix. The eigenvalues are the variances   Burchfiel,  B.C.,  2004,  New  technology;  new  geo-  Automatic analysis of digitized images: Tectono-
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         of the data projected onto the corresponding eigen-  logical challenges:  GSA  Today,  v.  14,  p.  4–10,   physics, v. 180, p. 201–211, https:// doi org/ 10.1016/
         vectors; the longer eigenvector is the direction that   https://doi.org/10.1130/1052-5173(2004)014   0040-1951(90)90308-U.
         maximizes this projected variance (Dunteman, 1989,   <0004:NTNGC>2.0.CO:2.  Parkinson, D.N., 1996, Gamma-ray spectrometry as a
         p.  29),  and  we take  square  roots  to  convert  to  the   Coleman, D.S., Bartley, J.M., Glazner, A.F., and Par-  tool for stratigraphical interpretation: Examples
         actual data spread (standard deviation). The aspect   due, M.J., 2012, Is chemical zonation in plutonic   from the western European Lower Jurassic, in
         ratio is thus the ratio of the data spread in the direc-  rocks driven by changes in source magma compo-  Hesselbo, S.P., and Parkinson, D.N., eds., Sequence
         tion of the longer eigenvector to that in the direction   sition or shallow-crustal differentiation?: Geo-  Stratigraphy in British Geology: Geological Soci-
         of the shorter eigenvector (Spruyt, 2014).  sphere, v. 8, p. 1568–1587, https://doi.org/10.1130/  ety (London) Special Publication 103, p. 231–255,
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