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Magick 1.0: 🎩 ✨🐇 Advanced Graphics and Image Processing in R

Last week, version 1.0 of the magick package appeared on CRAN: an ambitious effort to modernize and simplify high quality image processing in R. This R package builds upon the Magick++ STL which exposes a powerful C++ API to the famous ImageMagick library. The best place to start learning about magick is the vignette which gives a brief overview of the overwhelming amount of functionality in this package. 🔗 Towards Release 1....

Chat with the rOpenSci team at upcoming meetings

You can find members of the rOpenSci team at various meetings and workshops around the world. Come say ‘hi’, learn about how our packages can enable your research, or about our onboarding process for contributing new packages, discuss software sustainability or tell us how we can help you do open and reproducible research.

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Unconf 2017: The Roads Not Taken

Since June, we have been highlighting the many projects that emerged from this year’s rOpenSci Unconf. These projects start many weeks before unconf participants gather in-person. Each year, we ask participants to propose and discuss project ideas ahead of time in a GitHub repo. This serves to get creative juices flowing as well as help people get to know each other a bit through discussion. This year wasn’t just our biggest unconf ever, it was the biggest in terms of proposed ideas!...

elastic - Elasticsearch for R

elastic is an R client for Elasticsearch elastic has been around since 2013, with the first commit in November, 2013. sidebar - ‘elastic’ was picked as a package named before the company now known as Elastic changed their name to Elastic. 🔗 What is Elasticsearch? If you aren’t familiar with Elasticsearch, it is a distributed, RESTful search and analytics engine. It’s similar to Solr. It falls in the NoSQL bin of databases, holding data in JSON documents, instead of rows and columns....

emldown - From machine readable EML metadata to a pretty documentation website

How do you get the maximum value out of a dataset? Data is most valuable when it can easily be shared, understood, and used by others. This requires some form of metadata that describes the data. While metadata can take many forms, the most useful metadata is that which follows a standardized specification. The Ecological Metadata Language (EML) is an example of such a specification originally developed for ecological datasets. EML describes what information should be included to describe the data, and what format that information should be represented in....

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