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Does not look overly difficult: https://www.nature.com/articles/ncomms5114
The approach can adapt the modified independent swaps code, swapping between lists for each group, and then rebuilding th…
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It is possible to build a spatially structured randomisation, where labels
are assigned randomly to groups based on spatial location such that there
is greater structure in the randomly generated …
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A useful randomisation, which is essentially a cross-validation approach, is to
randomly delete some subset of labels from the cloned basedata, and then assess
how stable the analysis results ar…
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One potentially useful addition to the structured randomisations is to use the abundance based species richness estimators (Chao1, ACE) implemented in #420 to define the target richness scores.
Thi…
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It would be useful to be able to take a tree generated separately from the
basedata and attach it as a cluster or similar output.
This would enable users to run analyses outside of Biodiverse …
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A potentially interesting randomisations is where pairs of groups are selected based on some neighbourhood condition. i.e. select group 1, then select group 2 from the set of groups within a specifie…
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Profiling indicates some of the bottlenecks are where a global precalc needs to be recalculated for each iteration of a randomisation. One example is the tree with equal length branches.
It shou…
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From Ann Wheeler:
> This all needs to be scriptable so if one has 100 - 200 images Fiji can munch through them and generate an results file exportable to Excel with:
>
> Columns corresponding to:
> …
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I'm getting low performance on non-replicated datasets...
What are recommendations for optimizing xor and ec goal data for high throughput?
I'm trying raid instead of jbod on chunkservers, but it see…