Thanks to everyone who have replied, I sure have a lot of reading to do, 
but overall I feel more comfortable about my data. I might end up playing 
around with removing some semi-landmarks, figuring that it shouldn't affect 
in much the outcome. I'll get back in case I find any other doubts.

Thanks again

El lunes, 5 de noviembre de 2018, 11:52:57 (UTC-6), Diego Ardón escribió:
> Good day everybody, I actually have two questions here regarding 
> semi-landmarks:
> So, I was adviced to use semi-landmarks, I placed them with MakeFan8, 
> saved the files as images and then used TpsDig to place all landmarks, 
> however I didn't make any distinctions between landmarks and 
> semi-landmarks. What unsettles me is (1) that I've recently comed across 
> the term "sliding semi-landmarks", which leads me to believe semi-landmarks 
> should behave in a particular way. 
> The second thing that unsettles me is whether "more semi-landmarks" means 
> a better analysis. I can understand that most people wouldn't use 65 
> landmarks+semilandmarks because it's a painstaking job to digitize them, 
> however, in my recent reads I've comed across concepts like a "Variables to 
> specimen ratio", which one paper suggested specimens should be 5 times the 
> number of variables. I do have a a data set of nearly 400 specimens, but it 
> does come short if indeed I should have 65*2*5 specimens!
> Please, I'll appreciate some feedback :)

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