Introduction to Spatial Computing with R at UCSB Library

On November 14, 15, 21 and 22, the UCSB Library's Interdisciplinary Research Collaboratory is hosting a Data Carpentry workshop for those interested in an introduction to spatial computing with the R statistical programming language. This workshop assumes no or little experience with R or spatial data and is geared toward learners with little or no previous programming experience.

Th​e workshop series is focused on an introduction to raster and vector data and how to manipulate both data types in R. There will be a total of 12 hours of learning. It will be especially helpful for those just getting started with scientific computing or data science. The instructors will create a friendly environment to empower researchers and enable data-driven discovery. Even those with some experience will benefit, as the goal is to teach not only how to do spatial analysis, but also how to make it as automated and reproducible as possible.

Who: The course is aimed at graduate students and other researchers. You ​do not need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Library Classroom 1312.

When: November 14, 15, 21 and 22, 2019 from 9:00am-12:30pm.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.

Please click here for more information about the workshop.

To register, click here.

The Carpentries teach skills that are immediately useful for researchers, using lessons that allow researchers to quickly apply what they've learned to their own work. The Software Carpentry curriculum will help UCSB graduate students, staff, and faculty become more efficient in their work by applying scientific computing principles.

Questions? Send an email to library-collaboratory@ucsb.edu.