Third time's a charm?
The previous, shorter link directs you through FSU libraries with a 
requisite login.
Trying again. I think this will take you directly to the article...

-ds [the MORPHMET moderator]
On Tuesday, April 30, 2019 at 11:01:15 AM UTC-4, MORPHMET wrote:
> [Posted on behalf of Dr. Bookstein] 
> Dear MorphMetters, 
> I'm happy to announce that my paper "Reflections on a Biometrics of 
> Organismal Form" has just been posted for open access by the Springer 
> journal Biological Theory. You can get a free copy by pointing your browser 
> at 
> and clicking on what is, for now, the top entry in the Latest Articles 
> table on the home page. 
> This article is a sequel to my 2015 article in Benedikt Hallgrimsson's 
> journal Evolutionary Biology that introduced the BE-PwV plot as the best 
> tool for studying integration in GMM data sets. I trace the basic idea here 
> back nearly a hundred years, not to D'Arcy Thompson but to a 
> hitherto-untranslated critique of his ideas by the Vivarium group under 
> Hans Przibram in Vienna arguing that the only valid way that a biologist 
> should study organismal form is by direct experimental observation of 
> transformation grids: "Thompson's holistic deformations can be made 
> comprehensible if we can visualize a space lattice upon the living form, so 
> as to assess how each little piece changes its shape under conditions that 
> vary by species. Here lies open a rich, nearly undeveloped field that 
> invites a mathematization, one whose erection we hope will begin very 
> soon." But the timing seems to have slipped a bit, namely, by 97 years. The 
> new paper argues that BE-PwV is exactly the "mathematization" they were 
> envisioning, which could not be made empirical until the development of 
> geometric morphometrics, and further that it is the only morphometric 
> method consistent with the most fundamental fact in all of biology, "the 
> repetitive production of organized heterogeneity" (Hotchkiss 1958) or, as 
> Walter Elsasser put it in 1987, "the transfer of information over finite 
> intervals of time without an intermediate message." For instance, the new 
> article demonstrates how to recognize a growth-gradient explicitly even in 
> the presence of unstructured residual variability. I close with a plea that 
> others help me build the bridge that we need so urgently between the 
> arithmetic of today's burgeoning image-based data resources and the 
> rhetoric of biological explanations of organismal form both over evolution 
> and over development. 
> As always I welcome all comments on these ideas, enthusiastic or 
> otherwise. 
>                                Fred Bookstein 

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