20. Measuring Multivariate Selection

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20. Measuring Multivariate Selection


PDF versions of a recent draft of this chapter are available. Feel free to use this for personal and/or class use until the book is available. Please note that these are copyrighted and that I would greatly appreciate feedback . Note that while the screen view can look funny in places, the printed output is fine.


Programs

  • Programs for estimating univariate fitness functions (GLMS) and multivariate selection surfaces (PP) from data on survival, reproductive success, or other fitness measurement have been developed by Douglas Nychka (Department of Statistics, North Carolina State University) and Dolph Schluter (Zoology Department and Centre for Biodiversity Research, University of British Columbia). Surfaces are estimated using the cubic spline, a flexible regression tool that makes no a priori assumptions about the shape of the surface. Full details can be found in Schluter (1988) Evolution 42: 849--861 and and Schluter and Nychka (1994) Am. Nat. 143: 597--616.


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    Created 13 December 2000, last updated 13 December 2000

    Bruce Walsh. jbwalsh@u.arizona.edu . Comments welcome.