# iNat Visualizations Using R

**URL:** <https://forum.inaturalist.org/t/inat-visualizations-using-r/13724>\
**Category:** General\
**Tags:** third-party-tools\
**Created:** [June 24, 2020, 6:52pm UTC](https://forum.inaturalist.org/t/inat-visualizations-using-r/13724 "2020-06-24T18:52:07Z")\
**Posts on this page:** 1\
**Showing post:** 3

<div class="post-metadata">

**Author:** ![pisum](https://avatars.discourse-cdn.com/v4/letter/p/91b2a8/32.png) [@pisum](https://forum.inaturalist.org/u/pisum)\
**Post date:** [June 24, 2020, 7:26pm UTC](https://forum.inaturalist.org/t/inat-visualizations-using-r/13724/3 "2020-06-24T19:26:45Z")

</div>

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):

> [@iNaturalist Visualization: What introduced species are in my place?](https://forum.inaturalist.org/t/inaturalist-visualization-what-introduced-species-are-in-my-place/12889/1):
>
> Since you all were as excited about my last visualization about [milkweed bug misidentifications](https://alexis-catherine.github.io/visualization/inaturalist-sankey-diagram/) 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](https://alexis-catherine.github.io/visualization/inaturalist-invasive-bubble-plot/). 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.

> [@iNaturalist Visualization: Flexdashboard (R markdown)](https://forum.inaturalist.org/t/inaturalist-visualization-flexdashboard-r-markdown/13036/1):
>
> 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](https://www.proyectosub.org.ar/en/inaturalist_en/) (view results).
> 
> Code [here](https://github.com/gonzalobravoargentina/inat_flexdashboard_ARG).

> [@iNaturalist User Trends with R](https://forum.inaturalist.org/t/inaturalist-user-trends-with-r/12538/1):
>
> The app: [https://jonathanlayman001.shinyapps.io/iNaturalist\_user\_trends/](https://jonathanlayman001.shinyapps.io/iNaturalist_user_trends/)

> [@Looking for iNaturalist observation map visualisation suggestions](https://forum.inaturalist.org/t/looking-for-inaturalist-observation-map-visualisation-suggestions/7322/2):
>
> For heatmap of either single species observations or single user observations check this online app.  
> [https://github.com/Vojczech/iNaturalist\_app](https://github.com/Vojczech/iNaturalist_app)

> [@Using R to extract observations of a specific phenological state](https://forum.inaturalist.org/t/using-r-to-extract-observations-of-a-specific-phenological-state/7007/6):
>
> 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](https://www.inaturalist.org/people/hanly)

> [@1M Observations this month](https://forum.inaturalist.org/t/1m-observations-this-month/2582/4):
>
> 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](https://github.com/alexkrohn/reptile-choropleth)

---

_[View the full topic](https://forum.inaturalist.org/t/inat-visualizations-using-r/13724)._