Simon Willison’s Weblog

4 items tagged “inaturalist”

Develop Your Naturalist Superpowers with Observable Notebooks and iNaturalist (via) Natalie’s article for this year’s 24 ways advent calendar shows how you can use Observable notebooks to quickly build interactive visualizations against web APIs. She uses the iNaturalist API to show species of Nudibranchs that you might see in a given month, plus a Vega-powered graph of sightings over the course of the year. This really inspired me to think harder about how I can use Observable to solve some of my API debugging needs, and I’ve already spun up a couple of private Notebooks to exercise new APIs that I’m building at work. It’s a huge productivity boost. # 18th December 2018, 10:39 pm

owlsnearme source code on GitHub. Here’s the source code for our new owlsnearme.com project. It’s a single-page React application that pulls all of its data from the iNaturalist API. We built it this weekend with the SuperbOwl kick-off as a hard deadline so it’s not the most beautiful React code, but it’s a nice demonstration of how React (and create-react-app in particular) can be used for rapid development. # 4th February 2018, 10:33 pm

Owls Near Me. Back in 2010 Natalie and I shipped owlsnearyou.com—a website for finding your nearest owls, using data from the sadly deceased WildlifeNearYou (RIP). To celebrate #SuperbOwl Sunday we rebuilt the same concept on top of the excellent iNaturalist API. Search for a place to see which owls have been spotted there, or click the magic button to geolocate your device and see which owls have been spotted in your nearby area! # 4th February 2018, 10:26 pm

6M observations total! Where has iNaturalist grown in 80 days with 1 million new observations? Citizen science app iNaturalist is seeing explosive growth at the moment—they’ve been around for nearly a decade but 1/6 of the observations posted to the site were added in just the past few months. Having tried the latest version of their iPhone app it’s easy to see why: snap a photo of some nature and upload it to the app and it will use surprisingly effective machine learning to suggest the genus or even the individual species. Submit the observation and within a few minutes other iNaturalist community members will confirm the identification or suggest a correction. It’s brilliantly well executed and an utter delight to use. # 28th January 2018, 8:18 pm