If you’re interested in big ecological datasets, natural history, and predictive cross-scale ecology (like we are) then you should check out the upcoming Gordon Research Conference (GRC) on Unifying Ecology Across Scales (July 28 – Aug 2) and the associated Gordon Research Seminar (GRS;

Last week an exciting new addition to the R ecosystem was announced: webR. webR lets you run R from inside your browser, without installing R ¹ . This is a really exciting development for educational materials, because it makes it possible to provide interactive materials where students can modify, create, and run code right inside a web page with zero setup.

The COVID-19 pandemic has dramatically impacted all of our lives in a very short period of time.Spring and summer are usually very busy as students prepare to go the field to engage in various data collection efforts.The pandemic has also disrupted these carefully planned activities as travel is suspended and local and remote field stations have closed indefinitely.A lost field season can be a major setback for a dissertation timeline and

In early September, the version 2.0.0 of rmangal was approved byrOpenSci, four weeks later it made it to CRAN.

In this data-driven era, research is faced with new challenges, from sharing, storing and accessing data, including how to better integrate data to answer big questions in science. With many data repositories available, it is hard to maintain them all – some repositories are forced to close – meaning loss of access to invaluable datasets.

NASA generates and provides heaps of data to the scientific community. Not allof it is looking out at the stars. Some of it is looking back at us here onEarth. NASA’s Earth science program observes, understands and models theEarth system ¹ . We can use these data to discover how our Earth is changing,to better predict change, and to understand the consequences for life on Earth.

We’ve just released a new version of rnoaa with A LOT of changes. Check outthe release notesfor a complete list of changes.

Every R package has its story. Some packages are written by experts, some bynovices. Some are developed quickly, others were long in the making. This is thestory of jstor, a package which I developed during my time as a student ofsociology, working in a research project on the scientific elite withinsociology.

Harnessing FAIR data is an event being held in London on September 3rd; no doubt all the speakers will espouse its virtues and speculate about how to realize its potential. ^♥ Admirable aspirations indeed. Capturing hearts and minds also needs lots of real life applications!

Introduction I never thought that I’d be programming software in my career. I startedusing R a little over 2 years now and it’s been one of the most importantdecisions in my career. Secluded in a small academic office with no oneto discuss/interact about my new hobby, I started searching the web fortutorials and packages. After getting to know how amazing and nurturingthe R community is, it made me want to become a data scientist.