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I am working on a dataset based on different sites, where each site has several transects. However, the sampling effort is not the same for each site (8th or 6th order sampling strength), which poses a problem for my further statistical analysis. By doing some research, it seems that adopting a sampling approach across the dataset makes the most sense to correct my data.

The idea would be to randomly collect 6 transects per site, to have the same sampling effort. And to repeat this sampling a large number of times using a for loop.

I can't figure out how to design this loop properly, any ideas?

Here is a brief overview of my data with sites from 1.1 to 13.2 :

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Florian B.
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    How are you defining "sampling strength"? Does 8th order mean that 1 in every 8 eligible units is sampled? – AdamO Mar 09 '22 at 16:54
  • Analyzing transect sampling usually benefits from some kind of model of detectability of the subjects along the transect (and as a function of distance from it). Steven Thompson discusses this in detail in his book Sampling. – whuber Mar 09 '22 at 17:23
  • @AdamO Each transect represents an observation of the species present on a site from a defined point. Each of the 6 or 8 observations per site were made at the same distance from this starting point, but in a random direction. What I mean by sample strenght is the number of observations made per site, i.e. 6 or 8. – Florian B. Mar 09 '22 at 18:27

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