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"Once you make the transition from a data poor to data rich environment, everything changes".
The panel sniffed at existing research on the subject, calling it "flawed by insufficient data, poor or underdeveloped methodology, or researchers' biases".
We discuss how DI-CUSUM could be incorporated into the management process for data poor fisheries.
After applying several morphodynamic parameters to the field data, poor or null representative results were obtained.
This is particularly problematic for deep-water species that are hard to sample and are data poor.
The Verlorenvlei estuarine lake (RAMSAR #525) on the west coast of South Africa is a data poor catchment where rainfall records have been supplemented with farmer's rainfall records.
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Resources: This paper from the US National Library of Medicine National Institutes of Health shows the methodological challenges in evaluating healthcare financing equity in data-poor contexts.
But this approach fell into disfavor over the last few decades as economists glorified financial papers that were theory-rich and data-poor.
This is especially helpful in data-poor markets and categories.
Similar models and techniques may be useful in other data-poor situations.
We demonstrate that such approaches are feasible and sometimes necessary in complex, data-poor urban environments.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com