None of these maps are intended to convey the idea that iNaturalist is a perfect tool that captures everything. I know it's not. For that reason I've shared these maps to give you an idea of how the data is biased, and what, if any use we can make of it.
To make these maps I pulled "research grade" observations using iNaturalist's export tool (https://www.inaturalist.org/observations/export) from the entire state and performed analysis to create individual maps.
Add me on iNaturalist if you're using it regularly: https://www.inaturalist.org/people/chucksutherland
iNaturalist observations were joined to American Community Survey Block Group population data. Observations per capita was determined using field calculator. An outlier block group in Blount County was balanced with the next highest score. This particular row of data was creating problems in visualizing the majority of the data which scored much lower. The offending block group has a very low population and a high observation rate given that it is part of Great Smoky Mountains National Park.
A heatmap is overlain with county level observation counts. The concentration of hot spots lines up nicely with both population centers and public lands.
Instead of showing individual observations, this map shows unique species observations (biodiveristy). The decision was made to differentiate between Genus subspecies observations and Genus observations.
[Biodiversity / Observations]
Areas which appear as cool colors biodiversity more closely matches observations. As in, 100% shows that 100% of observations are unique. Lower values show lots of duplication of species.