class: center, middle, inverse, title-slide # R for the Planet ## R-Ladies Amsterdam ### Alexa Fredston, PhD ### May 4, 2021 --- <style> .title-slide { vertical-align: bottom !important; text-align: left !important; } </style> # About our impact on the planet ... Yes, it's real. Yes, it's bad. Yes, it's us. No, it's not too late. No, it isn't just climate change. -- ### More on climate [FAQs answered](https://www.nytimes.com/article/climate-change-global-warming-faq.html), a [docu-series](https://www.amazon.com/Years-Living-Dangerously-Complete-Showtime/dp/B00NDOXDJU), a [YouTube channel](https://www.youtube.com/channel/UCi6RkdaEqgRVKi3AzidF4ow), a [bunch](https://www.criticalfrequency.org/drilled) [of](https://www.hottakepod.com/) [podcasts](https://www.degreespod.com/) -- ###Climate scientists to follow [Jonathan Foley](https://twitter.com/GlobalEcoGuy), [Ed Hawkins](https://twitter.com/ed_hawkins), [Katharine Hayhoe](https://twitter.com/KHayhoe), [Leah Stokes](https://twitter.com/leahstokes) --- # Why R? Really good at statistics Facilitates transparency and reproducibility The R ecosystem (R + RStudio + GitHub + RMarkdown + ...) enables us to [do better science in less time](https://www.nature.com/articles/s41559-017-0160) -- ### Specific examples from my Twitter community <blockquote class="twitter-tweet" data-width="550" data-lang="en" data-dnt="true" data-theme="light"><p lang="en" dir="ltr">I think highlighting the a soup to nuts data analytical workflows, from downloading data to putting out nice pdfs is something to highlight. Maybe highlight limits too? Or caveats? Maybe note the importance of domain expertise?</p>— Mike Treglia (@MikeTreglia) <a href="https://twitter.com/MikeTreglia/status/1382415509724004355?ref_src=twsrc%5Etfw">April 14, 2021</a></blockquote> --- # Why R? Facilitates transparency and reproducibility The R ecosystem (R + RStudio + GitHub + RMarkdown + ...) enables us to [do better science in less time](https://www.nature.com/articles/s41559-017-0160) ### Specific examples from my Twitter community <blockquote class="twitter-tweet" data-width="550" data-lang="en" data-dnt="true" data-theme="light"><p lang="en" dir="ltr">That R is a gateway drug to GIS!</p>— jebyrnes (@jebyrnes) <a href="https://twitter.com/jebyrnes/status/1382377335387783174?ref_src=twsrc%5Etfw">April 14, 2021</a></blockquote> --- # Why R? Facilitates transparency and reproducibility The R ecosystem (R + RStudio + GitHub + RMarkdown + ...) enables us to [do better science in less time](https://www.nature.com/articles/s41559-017-0160) ### Specific examples from my Twitter community <blockquote class="twitter-tweet" data-width="550" data-lang="en" data-dnt="true" data-theme="light"><p lang="en" dir="ltr">That R is a gateway drug to GIS!</p>— jebyrnes (@jebyrnes) <a href="https://twitter.com/jebyrnes/status/1382377335387783174?ref_src=twsrc%5Etfw">April 14, 2021</a></blockquote> --- # Why R? Facilitates transparency and reproducibility The R ecosystem (R + RStudio + GitHub + RMarkdown + ...) enables us to [do better science in less time](https://www.nature.com/articles/s41559-017-0160) ### Specific examples from my Twitter community <blockquote class="twitter-tweet" data-width="550" data-lang="en" data-dnt="true" data-theme="light"><p lang="en" dir="ltr">Something I'm grateful for a lot lately: the R ecosystem is hitting the inflection point where it's actually a net positive when you're handling climate data, thanks to people like <a href="https://twitter.com/mdsumner?ref_src=twsrc%5Etfw">@mdsumner</a>, which is... ten years in the making?</p>— Colin J. Carlson, Ph.D. (@wormmaps) <a href="https://twitter.com/wormmaps/status/1382417628484997120?ref_src=twsrc%5Etfw">April 14, 2021</a></blockquote> -- <blockquote class="twitter-tweet" data-width="550" data-lang="en" data-dnt="true" data-theme="light"><p lang="en" dir="ltr">20 easy ... I don't see any coherence or stability though, lots of participation at least - climate science needs R so bad it's amazing</p>— Michael Sumner (@mdsumner) <a href="https://twitter.com/mdsumner/status/1382561385003974657?ref_src=twsrc%5Etfw">April 15, 2021</a></blockquote> --- # Why R? Facilitates transparency and reproducibility The R ecosystem (R + RStudio + GitHub + RMarkdown + ...) enables us to [do better science in less time](https://www.nature.com/articles/s41559-017-0160) ### Specific examples from my Twitter community <blockquote class="twitter-tweet" data-width="550" data-lang="en" data-dnt="true" data-theme="light"><p lang="en" dir="ltr">It's a cure for the shifting baseline.<br><br>Perhaps the only cure.<br><br>Data science and monitoring combat our short memories.<a href="https://t.co/T2s743uvJc">https://t.co/T2s743uvJc</a></p>— Adam C Smith (@AdamClarkSmith) <a href="https://twitter.com/AdamClarkSmith/status/1382516148927918084?ref_src=twsrc%5Etfw">April 15, 2021</a></blockquote> --- # How environmental data scientists use R 1. Mapping environmental health risks: redlining in California [code](https://github.com/daltare/Redline-Mapping), [app](https://cawaterdatadive.shinyapps.io/Redline-Mapping/) 1. Assessing the effects of marine protected areas: Ovando *et al.* 2021 [preprint](https://figshare.com/articles/preprint/Assessing_the_Population-level_Conservation_Effects_of_Marine_Protected_Areas/12715409), [code](https://github.com/DanOvando/population-effects-of-mpas) 1. Facilitating methodological transparency: The Ocean Health Index [dashboard](https://ohi-northeast.shinyapps.io/ne-dashboard/), [code](https://github.com/ohi-northeast/ne-dashboard) 1. Tracking marine species responses to climate change: [OceanAdapt](https://github.com/pinskylab/OceanAdapt) --- # R, the planet, and you Data about issues that matter to you is [at your fingertips](https://ropensci.org/packages/data-access/)... -- ... **But use it with caution!** Domain knowledge matters We're friendly. Just ask! --- # Demo Want to try your hand at mapping historical temperature data in Europe? [Give it a go.](https://github.com/afredston/R-for-the-planet/blob/main/demo.Rmd) --- class: center, middle # Thanks! Slides created via the R packages: [xaringan](https://github.com/yihui/xaringan) and [xaringanthemer](https://github.com/gadenbuie/xaringanthemer) Featured code made open source by: [David Altare](https://github.com/daltare) `\(\bullet\)` [Daniel Ovando]() `\(\bullet\)` [Jamie Montgomery](https://github.com/OHI-Northeast/ne-dashboard) `\(\bullet\)` [OceanAdapt](https://oceanadapt.rutgers.edu) `\(\bullet\)` [ROpenSci](https://ropensci.org) `\(\bullet\)` [Mike Johnson](https://github.com/mikejohnson51) ## Contact Information [www.alexafredston.com](https://www.alexafredston.com/)<br> [fredston@rutgers.edu](mailto:fredston@rutgers.edu)<br> [@AFredston](https://twitter.com/AFredston)