Hi Blake,

Thanks for the feedback. Will contact you later as well.

Kind regards,
Helmi

On Thursday, January 17, 2019 at 1:25:45 AM UTC+8, Blake Dickson wrote:
>
> Hi Helmi,
>
> I would concur with Murat. There aren't any satisfying options for 3D 
> data. The 3D landmarks from one or more angles for each extremity is really 
> your only option for publications. As for your final question, yes you can 
> output LM 'warps' for CVA, regression, or pretty much any ordination you 
> want, but your options on software that can do it are limited. Stephan 
> Schlager's R packages are a good start as Murat already suggested and I'm 
> happy to help work through some approaches in R if you want to shoot me an 
> email.
>
> Cheers,
> -Blake
>
>
> Blake Dickson
> PhD Candidate
> Museum of Comparative Zoology
> Harvard University
> 26 Oxford Street
> Cambridge, MA 02138
>
>
> On Tue, 15 Jan 2019 at 21:28, Murat Maga <ma...@uw.edu <javascript:>> 
> wrote:
>
>> Dear Helmi,
>>
>>  
>>
>> Visualizing deformation for 3D shapes is somewhat difficult, especially 
>> if you are planning to put in a 2D medium like a paper. What you suggested 
>> are your basic options. You can choose to do deformation grids 
>> independently for each plane, that way it is a bit easier to see what’s 
>> going on, especially on paper. 
>>
>>  
>>
>> I personally like animations, that is morphing from one (or more) PC 
>> extreme to the other interactively as it brings out the full benefit of 3D. 
>> You can do the same with regression coefficients (or CVs) as well. If you 
>> still have access, those should be available in Landmark Editor as you 
>> suggest. 
>>
>>  
>>
>> We have a working prototype that we are hoping to release in the few 6-8 
>> weeks that will let you do a bit more than what you can do in Landmark 
>> editor, including GPA and PCA, visualizing landmark variability, and 
>> plotting. I attached a screenshot to give you an idea. You can stack 
>> multiple PCs to visualize simultaneously. 
>>
>>  
>>
>> If landmark editor doesn’t work for you and you really need something 
>> shoot me an e-mail (off the list), I will try to help you. If you are 
>> comfortable with R, you can also give a Stefan Schlager’s Morpho package a 
>> try as well. 
>>
>>  
>>
>> M
>>
>>  
>>
>> *From:* Helmi Hadi <helm...@gmail.com <javascript:>> 
>> *Sent:* Tuesday, January 15, 2019 5:30 PM
>> *To:* MORPHMET <morp...@morphometrics.org <javascript:>>
>> *Subject:* [MORPHMET] Different types of 2D and 3D image when 
>> intepreting PCA, CVA and other analysis.
>>
>>  
>>
>> Dear Morphometricians,
>>
>>  
>>
>> Which kind of graphical output would be better to place when interpreting 
>> data output? I've made an imaginary PC graph with imaginary shape for 2D 
>> analysis. Transformation grid/wireframe show almost the same thing, except 
>> that transformation grid shows the bending energy. Wireframe removes the 
>> bending energy, but in return you get a sort of view of the overall shape. 
>> Wouldn't it be better for visualization to just find the raw data point 
>> corresponding to the furthest ends of the PCs and just placing it there. 
>> Then you get the fine details (curves) of the shape as well which you 
>> cannot capture with landmarks, unless you are planning to fully landmark 
>> the object. Example here is in the Leaf morphology article by Cardini. 
>> <https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0025630.g004>
>>  
>> It shows all three leaf morphology visual representation side by side.
>>
>>  
>>
>> For 3D, it will be harder to just use wireframe/transformational grid. 
>> Then should I either:
>>
>> 1. find the raw data of the extremities of the PC1 vs PC2 graph and place 
>> it in the graph or
>>
>> 2. take a raw specimen near the midpoint 0,0 value (in PC1 vs PC2) and 
>> just use IDAV to morph it to whichever PC which is displayed? 
>>
>>  
>>
>> If the raw data output itself can be used, can it be used for CVA, or 
>> Regression analysis as well? You can easily display the labels in MorphoJ 
>> and identify which raw data it corresponds to and just place it there. 
>>
>>  
>>
>> Thanks
>>
>>  
>>
>> Helmi
>>
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