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Geographical Validaton of ocurrenes using coordiantes and checklist #8

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merged 7 commits into from
Jun 25, 2024

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crcruzr
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@crcruzr crcruzr commented Jun 25, 2024

Hi everyone,

I've developed a function to validate species distribution data within a data frame against known lists of mammal species and geographic coordinates. The function produces a data frame that includes validation results and additional information. This tool is invaluable for verifying datasets, confirming species presence in Colombia, and pinpointing their departmental records based on coordinates.

The output includes a column indicating the validation result for each occurrence. If a record falls within the ocean, the validator flags it as "sea." Additionally, it identifies coordinates that require manual verification due to overlapping boundaries or being outside defined limits.

Please note that the geographic file of Colombia included in the package may contain topological errors, leading the validator to label some records as "for manual review." Therefore, I've included the latest vector file of Colombia from Igac (2024 version) in this folder for optional use. Furthermore, I've integrated an Ocean layer to validate marine species records effectively.

I hope this will be useful. Can you test if it works, or if you need more information?

Regards,

Cristian

@dlizcano
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Great!

@dlizcano
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Porfa mueve la funcion a la carpeta R y mueve el mapa (como un solo archivo rda) a la carpeta data

@crcruzr
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crcruzr commented Jun 25, 2024

Done. In addition, I have saved the ocean shape in the "colmap.rda" and added a test file for use with the function. This dataset could be modified to generalize the example file for the entire package.

@crcruzr crcruzr merged commit 9dea95f into dlizcano:main Jun 25, 2024
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@dlizcano
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Hola Cristian,
He hecho algunos comentarios. Porfa dejame saber si los puedes ver.
https://github.com/dlizcano/mammalcol/pull/10/files/35a3bdf41153e0c887af73b535536eabc1e07e53

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2 participants