Dear Juan,
Unfortunately we have no tool for creating these kind of SQL like queries to the portal. I am sure you are aware that the filters in the occurrence search pages can be applied
in combination in numerous ways. The API can go even further in this regard[1], but it not well suited for retrieving occurrence records since there is a 200.000 records ceiling making it unfit for species exceeding this number.
There is going be updates to the pygbif package[2] in the near future that will enable you to launch user downloads programmatically where a whole list of different species
can be used as a query parameter as well as adding polygons.[3]
In the meantime, Mauro’s suggestion is excellent. If you can narrow your search down until it returns a manageable download (say less than 100 million records), importing this
into a database should be doable. From there, you can refine using SQL queries.
Best,
Jan K. Legind, GBIF Data manager
[1]
http://www.gbif.org/developer/occurrence#search
[2]
https://github.com/sckott/pygbif
[3]
https://github.com/jlegind/GBIF-downloads
From: API-users [mailto:api-users-bounces@lists.gbif.org]
On Behalf Of Mauro Cavalcanti
Sent: 30. maj 2016 14:06
To: Juan M. Escamilla Molgora
Cc: api-users@lists.gbif.org
Subject: Re: [API-users] Is there any NEO4J or graph-based driver for this API ?
Hi,
One solution I have successfully adopted for this is to download the records (either "manually" via browser or, yet better, using a Python script using the fine pygbif library), storing them into a MySQL or
SQLite database and then perform the relational queries. I can provide examples if you are interested.
Best regards,
2016-05-30 8:59 GMT-03:00 Juan M. Escamilla Molgora <j.escamillamolgora@lancaster.ac.uk>:
Hola,
Is there any API for making relational queries like taxonomy, location or timestamp?
Thank you and best wishes
Juan
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Dr. Mauro J. Cavalcanti
E-mail: maurobio@gmail.com
Web: http://sites.google.com/site/maurobio