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Geospatial
RQGIS: Integrating R with QGIS for Innovative Geocomputing (Jannes Muenchow)
Exploring and presenting maps with tmap (Martijn Tennekes)
Maps are data, so why plot data on a map? (Mark Padgham)
Geospatial Visualization using R (Bhaskar V. Karambelkar)
Spatial Data in R: New Directions (Edzer Pebesma)
mapedit – interactive manipulation of spatial objects (Tim Appelhans)
Sports Analytics
Sports Analytics with R (Stephanie Kovalchik)
Sports Betting and R: How R is Changing the Sports Betting World (Marco Blume)
Optimisation
OMPR: An Alternative Way to Model Mixed-Integer Linear Programs (Dirk Schumacher)
Packages
The data.table Package (Arun Srinivasan)
Rcpp: From Simple Examples to Machine Learning (Dirk Eddelbuettel)
jug: Building Web APIs for R (Bart Smeets)
Parallel Computing
Parallel Computation in R: What We Want, and How We (Might) Get It (Norman Matloff)
Introduction to Parallel Computing with R (Hana Ševčíková)
Scraping
Scraping data with rvest and purrr (Max Humber)
Teaching
Teaching data science to new useRs (Mine Cetinkaya-Rundel)
Data Carpentry: Teaching Reproducible Data Driven Discovery (Francois Michonneau)
Data Carpentry: Open and Reproducible Research with R (Francois Michonneau & Tracy K. Teal)
Containers & Cloud
Stream processing with R in AWS (Gergely Daroczi)
Automatically archiving reproducible studies with Docker (Daniel Nüst)
Clouds, Containers and R, towards a global hub for reproducible and collaborative data science (Karim Chine)
Rc2: an Environment for Running R and Spark in Docker Containers (Jim Harner)
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