Unleashing the power of biodiversity data - a visit from R-Ladies San Francisco

Hello!

and welcome to another hands-on session at Babbel.

We are very happy that evolutionary biologist and R-Lady Ciera Martinez will join us all the way from R-Ladies San Francisco!

PART I
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With Ciera (@CieraReports) we will explore biodiversity data which can take many forms, from photographs of bird feathers from museums to 3D CT-scans of extinct animals. Natural History Museums and Botanical Gardens have been digitizing their collections for over ten years yielding billions of data points culminating in one of the most exciting data resources the world has to offer.

She will also speak about her work as a current Mozilla Science Fellow, where she and her team have been working at the Berkeley Institute of Data Science exploring what the world of biodiversity data has to offer. You learn more about this project at curiositydata.org. In addition to talking about her biodiversity data project, she will speak about data science in academia and will host a brief workshop on how to use R to map fossils of extinct animals. (text inspired by R-Ladies Paris, thanks <3)

PART II
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In the second part of the meetup we invite you to code together with us, running for the first time a section we call "RetrinkR". Here, we will share a piece of code on GitHub (or RStudio cloud) and invite you to work with us on it. After a short introduction we are going to spend not more than an hour to have fun coding, learning and playing with R altogether (ALL levels of experience with R welcome).

If you have any chunk of code that you think that would be perfectly suitable - you are stuck and need a fresh view - get in touch with us here on meetup or on twitter.

Also in case of any other questions regarding R in general, you would like give a presentation or a R package that you would like to be introduced by us - please drop us a line at berlin@rladies.org.

We are looking forward to see you soon!
Best
R-Ladies Berlin organisation team

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Please install or update the following packages:

install.packages("pacman")
pacman::p_load(ggplot2, ggmap, tidyverse, skimr, taxize, neotoma, maps)

Stay tuned.
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