# Favourite Talks from useR 2017

[This article was first published on

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

**R on datawookie**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

## 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)

To

**leave a comment**for the author, please follow the link and comment on their blog:**R on datawookie**.R-bloggers.com offers

**daily e-mail updates**about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.