I fear, Kieran, that you're right: papers are still published with per-landmark analyses. There's even an R package that "provides the code ... to calculate per-landmark rate and variance".

Per-landmark analyses produce a good looking numerical artifacts. I am not hopeful that this will stop very soon, but at some point it will. It was the same with the analyses of partial warps 25 years ago: after Jim conclusively showed they were wrong, papers went on being published for a while but, now, luckily, it's very rare. At least, with partial warps the mistake was more understandable: it was the early days of Procrustes-GMM and the mathematics of those variables is much more difficult for biologists. The error was common and made even by some of the best morphometricians. With per-landmark analyses, in contrast, the issue is so obvious that it's been known since before the time of modern GMM. The problem is that scientists are interested in the questions apparently addressed by per-landmark analyses, and these analyses produce results and good looking visualizations, but none of those make sense: for meaningful results, one must first demonstrate how a LEAST SQUARE superimposition, such as Procrustes (plus, maybe, sliding semilandmarks by minimizing bending energy, "a metaphor borrowed for use in morphometrics from the mechanics of THIN METAL PLATES" https://sbmorphometrics.org/glossary/gloss1.html) can be used to estimate variance of individual points in biological tissues. None has done it, to my knowledge, and that's because it can't be done. Claims that the approach is justified because it produces results congruent with previous analyses are invalid for two simple reasons: 1) at best, they demonstrate precision but precision is not accuracy (i.e., the correct answer); 2) they lack external validity (i.e., even if they got the right answer for a specific dataset - which is hard to demonstrate if at all possible - that cannot be generalized to other datasets). The editors of PNAS, Nature, Plos etc. cannot be competent on everything and finding competent reviewers is hard, which is probably why several of those wrong and misleading analyses are published in prestigious journals.

In fact, I doubt we're really interested to know if a single point wins the prize for the most variable or fast evolving. We may want to know if a region of a bigger structure is more variable or 'evolvable', but we can't use single points as a proxy to get the answer. Subsetting landmarks after a common superimposition ('within a configuration' approaches) has the same logical issue of per-landmark analyses, because results (including the visualization) depend on the choice of the superimposition. That's something it took me much longer to understand, but probably others had already got it and it's what Jim meant (Jim, correct me if I am wrong) in his comment some time ago in morphmet: “in addition to trying to assess variation at a single landmark, there is also a problem with … covariation among landmarks … These limitations call into question some methods used in studies on the very popular topics of integration and modularity. Geometric morphometrics is an excellent tool but it cannot do the impossible. The fact that one can compute interesting statistics does not mean that they are reasonable.”

Cheers

Andrea



On 17/05/2022 08:20, [email protected] wrote:
Dear all,

Dr. Andrea's thread "analysis of landmarks one at a time in Procrustes
shape data" has been recently expanded into a paper: Procrustes Shape
Cannot be Analyzed, Interpreted or Visualized one Landmark at a Time. Evol
Biol (2022). https://doi.org/10.1007/s11692-022-09565-1.

Recently, I find landmarks are still being analyzed one at a time in Nature
Genetics.

The paper (Attached):
Genetic variants underlying differences in facial morphology in East Asian
and European populations. Nat Genet. 2022;54(4):403-411.

Legend for Fig 4f reads "P values of each quasi-landmark". Although I have
limited understanding in genetics, it seems very likely that landmarks were
analyzed one at a time. *So my question 1 is if I have misinterpreted
anything such that landmarks were not analysed separately in this paper. *
[image: image.png]

Best,
Kieran


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Dr. Andrea Cardini
Researcher, Dipartimento di Scienze Chimiche e Geologiche, Università di Modena e Reggio Emilia, Via Campi, 103 - 41125 Modena - Italy
tel. 0039 059 4223140

Adjunct Associate Professor, Centre for Forensic Anthropology, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia

E-mail address: [email protected], [email protected]
WEBPAGE: https://sites.google.com/view/alcardini2/
or https://tinyurl.com/andreacardini

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