Changes

==Morphometric procedure==

==Morphometric procedure==

[[file:applied-paleontology_fig17-33.png|left|thumb|{{figure number|1}}Printed with permission of N. Healy-Williams, University of South Carolina.]]

[[file:applied-paleontology_fig17-33.png|thumb|{{figure number|1}}Printed with permission of N. Healy-Williams, University of South Carolina.]]

Morphometric analysis involves collecting the measurements of two or three dimensions of fossil form, typically either an outline (silhouette) or the coordinate positions of a morphologic “landmark.” Once a sufficient data set is collected, multivariate methods are used to break out fossil “shape components” statistically and to relate component variability to chronostratigraphic or paleoenvironmental indices.<ref name=ch17r29>Davis, J., C., 1986, Statistics and data analysis in geology: New York, John Wiley, 646 p.</ref> When the relationship between change in fossil shape and environmental and stratigraphic data is established, fossil morphology can increase confidence in geologic correlation and paleoenvironmental inference.<ref name=ch17r73>Reyment, R., A., Blackith, R., E., Campbell, N., A., 1984, Multivariate Morphometrics, 2nd ed.: London, Academic Press, 233 p.</ref><ref name=ch17r74>Rohlf, F., J., Bookstein, F., L., eds., 1990, Proceedings of the Michigan Morphometrics Workshop: University of Michigan Museum of Zoology Special Publication 2, 380 p.</ref>

Morphometric analysis involves collecting the measurements of two or three dimensions of fossil form, typically either an outline (silhouette) or the coordinate positions of a morphologic “landmark.” Once a sufficient data set is collected, multivariate methods are used to break out fossil “shape components” statistically and to relate component variability to chronostratigraphic or paleoenvironmental indices.<ref name=ch17r29>Davis, J., C., 1986, Statistics and data analysis in geology: New York, John Wiley, 646 p.</ref> When the relationship between change in fossil shape and environmental and stratigraphic data is established, fossil morphology can increase confidence in geologic correlation and paleoenvironmental inference.<ref name=ch17r73>Reyment, R., A., Blackith, R., E., Campbell, N., A., 1984, Multivariate Morphometrics, 2nd ed.: London, Academic Press, 233 p.</ref><ref name=ch17r74>Rohlf, F., J., Bookstein, F., L., eds., 1990, Proceedings of the Michigan Morphometrics Workshop: University of Michigan Museum of Zoology Special Publication 2, 380 p.</ref>