Burnaby’s size correction method (Burnaby Principal Component Analysis BPCA; Burnaby 1966; Rohlf and Bookstein 1987), now frequently are used for morphometric variables in order to assess shape variations of the studied taxa or populations. I collected morphometric variables of several species that belong to a genus of rodentia, its important for me to compare their shape variations without size effect. How can I do this analysis using statistical software such as SPSS? Can anybody help me to do that?
Thanks in advance
In Julien Claude's book Morphometrics with R, he provides the code for Burnaby 's approach on pp. 118-119.
In Julien Claude's book Morphometrics with R, he provides the code for Burnaby 's approach on pp. 118-119.
I succesfully employed a normalization technique to scale the data that exhibit
allometric growth followed Lleonart et al. (2000).
You can look at my papers in which more explanation is presented.
Write me at my email for more details.
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