31:[] 2f:{"title":"Resources from the Earth Day Call","cells":[{"id":0,"value":"md`# Resources from the Earth Day Call`","pinned":false,"hidden":false,"mode":"ojs"},{"id":309,"value":"md`\n

👋 This is an artifact from a past event. And it's also the start of a call for collaborations to be carried forward over space and time. The lines that follow contain links to work with enviornmental information. If you enjoy having fun with environmental data, or if you wish to learn more about how we can learn about the environment using JavaScript, please join the conversation! ✨

\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":137,"value":"md`\n---\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":138,"value":"thanks = md`\nHello everyone, and thank you for your interest and participation in our [Earth Day discussion](https://observablehq.com/@ambassadors/data-science-for-environmental-research-and-advocacy). Because we cherish the Earth, I invite your continued engagement to work through environmental data and to better understand our world—together.\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":142,"value":"kickoff = md`\nThe kick-off discussion was very impressive. Below are resources highlighted during the 1.5 hour chat on data visualization and environmental data sources.\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":98,"value":"md`\n\n\n---\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":152,"value":"md`\n**This is a work in progress, and it can use your help!**\n\n_The following notes are in more-or-less chronological order from [the complete public record](https://www.crowdcast.io/e/datascienceforenvironmentalresearchandadvocacy2021). I am weaving together this written narrative. There's much needed elaboration ahead, including linking in more of the notebooks presented by speakers. For now, this is little more than a terse list of links and some embedded views of refernced web pages—where these are permitted by simple iframe methods (and you'll see that half the links don't support this). This document contains minimal formatting, **Your help to elaborate and beautify is very welcome.**_\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":166,"value":"md`\n---\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":207,"value":"md`\n_Thanks to Michael Norelli for kicking off the call with a link to this spectacular resource!_ Very long ago (in Internet years, this was meant as a joke ;) I came across a version of this visualization from [nullschool.net](https://nullschool.net/) showing wind data for Tokyo. I had been wanting to figure out how to port this to Observable since joining the community in 2018 as I found it to be a great way to see and understand things like the risks of air pollution from, e.g., a power plant to neighbouring communities. In July 2020, [Oskar Kocol](https://observablehq.com/@oskarkocol) [figured it out](https://observablehq.com/@oskarkocol/animated-wind-map)! So beautiful and so insightful! ~_Aaron_\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":7,"value":"md`\nMichael Norelli:
\nFun with environmental data viz: [https://earth.nullschool.net/](https://earth.nullschool.net/)\n\n**Earth Project**\n\n\n\n**Observable Port**\n\n\n\n\n\n\n\n\n\n\n \n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":214,"value":"md`\nChristoph Pahmeyer
\nhttps://observablehq.com/@chrispahm/influence-of-soil-quality-and-soil-moisture-index-on-crop-yi\n\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":316,"value":"md`\nWas just going to say the same: Vega-lite is awesome for creating quick interactive choropleth maps: https://observablehq.com/@chrispahm/regional-crop-yields-in-germany?collection=@chrispahm/agriculture/2\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":217,"value":"md`\nChristoph Pahmeyer
\nExperimental notebook open to collaboration!
\n\nWe've been thinking about a similar thing at the beginning of the year: It's a 3D visual of New York under rising sea level scenarios\nhttps://observablehq.com/d/0f087b04ed9477aa\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":8,"value":"md`\nMike Freeman:
\nA great dataset on CO2 and Greenhouse Gas Emissions dataset: https://github.com/owid/co2-data\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":10,"value":"md`\nAdolflow:
\nWe had an interesting Observable workshop to cellebrate the Open Data Day from the MPVD.es, video and notebook are available
https://mpvd.es/articulo/periodismo-y-visualizacion-de-datos-abiertos/\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":35,"value":"md`\n\nMike Freeman:\nAs a \"new\" user, Maya sure has been creating some awesome work on Observable...!
\nhttps://observablehq.com/collection/@mayagans/30daychartchallenge\n\n\nA great tip on how to use Github actions to tracking changes to a data source, so you can build your own datasets.
\nhttps://www.youtube.com/watch?v=2CjA-03yK8I\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":36,"value":"md`\nMaya Gans:
\nCalendar notebook
\nhttps://observablehq.com/@mayagans/a-github-inspired-calendar\n\n\n\nhttps://github.com/MayaGans/githubCalendar\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":25,"value":"md`\nMichael Norelli:
\nWeb wrapper for R:\nhttps://shiny.rstudio.com/\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":23,"value":"md`\nKarim Douieb
\nhttps://observablehq.com/@karimdouieb/earthquakes\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":21,"value":"md`\nKarim Douieb
\nhttps://observablehq.com/@karimdouieb/global-surface-temperature-anomalies\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":19,"value":"md`\nKarim Douieb\nhttps://observablehq.com/@karimdouieb/tornados\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":16,"value":"md`\nAdolflow\nthe one with the earth reminds me to the one martín nadal did for Gala in Visualizar16 https://vimeo.com/188983690\n\n\n

Gala from Martín Nadal on Vimeo.

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":42,"value":"md`\nBrett Cooper\nNew Zealand Open Datasets hub:
\nhttps://catalogue.data.govt.nz/dataset\n\n\n\nhttps://climate.gov/maps-data\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":44,"value":"md`\nhttps://www.ncdc.noaa.gov/\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":46,"value":"md`\nsmall multiples! https://en.wikipedia.org/wiki/Small_multiple\n\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":55,"value":"md`\nTom Di Liberto\nhttps://storymaps.arcgis.com/stories/c57435110d264e1f8ccd75e35731ed5f\n\n\n\nTom.DiLiberto@noaa.gov\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":56,"value":"md`\nhttps://nihhis.cpo.noaa.gov/Urban-Heat-Island-Mapping\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":58,"value":"md`\n@TDiLiberto\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":61,"value":"md`\nAaron Dennis (sharing John Alexis Guerra Gómez)
\nHere're some great examples: https://observablehq.com/@john-guerra/vega-crossfilter\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":62,"value":"md`\nMike Freeman:\nYes! If you want to get started with vegalite, here's a set of tutorials: https://observablehq.com/collection/@observablehq/observable-for-vega-lite\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":66,"value":"md`\njeff.pulver@noaa.gov\n\nThese recreational data sets found [here](https://www.fisheries.noaa.gov/recreational-fishing-data/recreational-fishing-data-downloads) , particularly the MRIP survey data, I think would be a great start to see what could be done. These data are currently accessed through a [query tool](https://www.fisheries.noaa.gov/data-tools/recreational-fisheries-statistics-queries), but I think the visualizations could certainly be expanded on. \n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":68,"value":"md`\nGabe
\ngabe.sataloff@noaa.gov\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":175,"value":"md`\n\nhttps://coast.noaa.gov/digitalcoast/data/\n\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":177,"value":"md`\nhttps://coast.noaa.gov/slr\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":179,"value":"md`\n\nhttps://coast.noaa.gov/ccapatlas/\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":181,"value":"md`\n\nhttps://coast.noaa.gov/floodexposure\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":183,"value":"md`\n\nhttps://coast.noaa.gov/enowexplorer\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":258,"value":"md`\nbenjamin.duffin@noaa.gov\n`\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":259,"value":"md`\nMichael Norelli
\ntoday's opening screen looked similar to this amazing video of interpreted satellite data of 2020 Australia fires impacts globally https://gmao.gsfc.nasa.gov/research/science_snapshots/2020/Australia_fires_smoke.php\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":262,"value":"md`\nAaron Dennis
\nhttps://talk.observablehq.com/t/how-to-visualize-data-hosted-w-arcgis-javascript-api/3722\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":265,"value":"md`\nTom Di Liberto
\n@NOAAClimate on twitter is a great place to look (and not just because I run that account)\nBut also https://cpo.noaa.gov/\n\n\n\nAnd https://nihhis.cpo.noaa.gov/ are the folks who run that urban heat island campaign.\n\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":268,"value":"md`\nAaron:
\nI have seen Alok make some great maps + stories\nhttps://on.wishyoulization.com/world-development-indicators/\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":306,"value":"md`\n_Hi Brett Cooper, and thank you for your interactions with me and the community on the forum!_ ~Aaron.\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":271,"value":"md`\nBrett Cooper
\nAir quality sensors dataset https://www.purpleair.com/\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":295,"value":"md`\nAs used by Ian https://observablehq.com/@enjalot/purpleair-historical-data\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W31","stdlib":"1","titling":"auto"}