iNat Visualizations Using R

[pisum]

i’m actually not an R person, but there are plenty of folks who have mentioned making things for iNat for and related to R (feel free to add to this wiki post, if you like):

@alexis18

Since you all were as excited about my last visualization about milkweed bug misidentifications as I was, I thought I’d share one I put together about invasive species.

This one takes a place_id and plots the introduced species as bubbles sized by the number of research-grade observations in that place. The colors correspond to the iconic taxon.

Bubble plots are a fun way to communicate biodiversity data, in my opinion, and can help you compare between sites at a glance.

The code for this visualization is here . It doesn’t handle huge numbers of observations super well, both in terms of speed and visualizations, so I recommend places with <50,000 total verifiable observations.

@gonzalopatagonia

I am working on a R code to produce dashboards with plots, tables and others, to show inaturalist data on a web site.

Some examples can be found here (view results).

Code here .

@jlayman

The app: https://jonathanlayman001.shinyapps.io/iNaturalist_user_trends/

@vojczech

For heatmap of either single species observations or single user observations check this online app.
https://github.com/Vojczech/iNaturalist_app

@hanly

Check out my iNat profile for installation instructions and examples of a beta R package that can handle this request: https://www.inaturalist.org/people/hanly

@loarie

Here’s the little R script I used to make that fig from the iNat API

A post from github I saw on twitter for making chloropleths of seasonal iNat observation data: https://github.com/alexkrohn/reptile-choropleth