Analysing iNat data

While I haven’t done it with iNaturalist data, if you are trying to start doing data analysis on large datasets I suggest learning some python. Packages in python such as Numpy, Pandas, Scipy, Scikit-learn and Matplotlib go awfully far for data analysis.

I suspect it is possible to use pyinaturalist 3 and the API reference 1 for getting data out of iNaturalist as well, but it seems like you were already able to extract to excel already. https://pypi.org/project/pyinaturalist/ https://www.inaturalist.org/pages/api+reference Data analysis and visualization is really a field of its own. There are many different software applications, like R, python, etc, but you really need to have a working knowledge of these programming languages. If you’re only familiar with Excel, that might be the best place to start. There are not any programs specifically for easily working with iNat data.

https://forum.inaturalist.org/t/analysing-inat-data/6001/3

https://pypi.org/project/pyinaturalist/

https://www.inaturalist.org/pages/api+reference

?interpolate_coordinates=true

Find observations missing a location
https://www.inaturalist.org/observations?quality_grade=any&place_id=any&not_in_place=91708,97391&user_id=ahospers&verifiable=any works!

But there is still a huge need for classical projects: i.e. projects to which observations are manually added, or added by virtue of observation fields that are required. To my mind these are "tagged" projects. (in iNat logic one traditionally "added observations to projects", but for similar projects on iSpot we added tags and created projects to filter on the tags - the net effect is the same, a lookup table of project-tag and observation, that can be used as a filter - either alone or with other filters).
The addition of a project-tag filter to the new projects will make the "traditional" projects into "collection type" projects too, while preserving the Project Icons on the observations.
((the additional functionality of defining observation fields from within a project is an extremely useful feature.))

A nitpick: is the central filter a Location filter (using google places) or a Place filter (using user-created iNat polygons) or both? It would help if the terminology was standardized with the observations pages and its filters.

?interpolate_coordinates=true

photos/?advanced=on

Here's the link for creating a traditional project: https://www.inaturalist.org/projects/new_traditional

Posted by ahospers ahospers, August 23, 2019 14:55

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