----- Forwarded message from Sive Finlay <[email protected]> -----

Date: Wed, 23 Jan 2013 05:27:24 -0500
From: Sive Finlay <[email protected]>
Reply-To: Sive Finlay <[email protected]>
Subject: Replicates for error checking when digitizing landmarks
To: [email protected]

Dear all,


I am studying morphological convergent evolution in the skull and limb shapes of tenrecs compared to other small mammals. I have approximately 100 species and aim to both measure and photograph 10 representatives of each species. I have a query relating to the optimal way to check for error when digitizing landmarks on my photographs.

From my reading of other studies, I've come up with 3 possible ways to approach error checking;

1) Take one photo of each specimen, make copies of that one image, digitize the same landmarks on each copy and then measure the variability between these landmarks to estimate digitizing error.

2) Take multiple photos of each specimen (is 3 enough to aim for in this case?) and use these to digitize landmarks separately on each image

3) Take multiple photos of each specimen but re-position the skulls/ limbs between every photo

The aim of options 1 and 2 would be to account for error in my own ability to be consistent in digitizing the landmarks. In contrast, any landmark variation with the option 3 approach would be a combination of both digitizing skill error and discrepancies associated with how the specimens are positioned for the photographs (e.g. if they're not completely flat in the plane of focus). 

The issue with this 3rd option would be that it's far more time consuming since each specimen would have to be positioned and photographed on 3 separate occasions while options 1 and 2 only require me to set up each picture once.

Given that my aim is to collect 1,000 specimens (10 replicates of 100 species), I would be very grateful for any advice on which error checking approach is practical or necessary. In addition, any modified or alternative suggestions for error-checking approaches would be very much appreciated.

Thank you!

Sive
--
Sive Finlay
IRC EMBARK Initiative Postgraduate Scholar 

Macroecology and Macroevolution Research Group
Zoology building
School of Natural Sciences
Trinity College Dublin

[email protected]


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