Common things to look out for when post-processing GBIF downloads - GBIF Data Blog

Here I present a checklist for filtering GBIF downloads.

In this guide, I will assume you are familar with R. This guide is also somewhat general, so your solution might differ. This guide is intended to give you a checklist of common things to look out for when post-processing GBIF downloads.


This is a companion discussion topic for the original entry at https://data-blog.gbif.org/post/gbif-filtering-guide/

Dude, cite the DOI, please :slight_smile:

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Excellent contribution!
I have a question, how to filter those occurrences “saved by default” in which there are no coordinates and because of this the location is located in a central position.

Thanks a lot!

If you want to remove country centroids I suggest using CoordinateCleaner::cen(). This might not get all of the centroids, since centroids can be calculated in different ways, but its the easiest solution right now.

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There was a mistake in a previous version of this post that had

filter(coordinateprecision > 0.01 | is.na(coordinateprecision)) %>% 

which I changed to …

filter(coordinateprecision < 0.01 | is.na(coordinateprecision)) %>%