Spatial Data Analysis with R - Spring 2019

Brief description:

This workshop will focus on R, a free and open source statistical package used by an increasing number of geospatial practitioners. R is supported by a large community of users and has a large number of packages for spatial analysis. This workshop will cover the basics of working with spatial data in R, including importing and exporting spatial data, geoprocessing, spatial queries and joins, raster operations, and selected spatial analyses. 

By the end of the workshop, students will be able to import vector and raster data into R, do basic data manipulations including projections and format conversions, query spatial objects using attribute values and spatial relationships, perform common geoprocessing tasks, automate workflows with R code, work with online data and services, prepare data for analyses, and perform basic spatial statistics.

Emphasis will be placed on learning how to complete tasks you've never done before, and automate data processing workflows. Some prior experience with GIS is expected. Students who have not used R before are welcome to take the workshop, but are expected to complete the [Introduction to R]( online course from DataCamp (free) prior to the first session. 

All sessions will be held at City College. Attendance at the first session is required; subsequent sessions will be streamed for those who want to join remotely. 

---- This class meets 6:30 - 9:00 p.m. on five Mondays and Thursdays: April 15, 18, 22, 29; May 2

Workshop Includes:

  • A 1 year license of Esri's ArcGIS for personal use

  • Hands-on lab time and opportunity to work closely with the instructor

  • Certificate of Attendance and/or Completion, upon request

Important Notes:

  • The workshop venue may change based on classroom availability. Registered students will be given advance notice if this is the case.

  • If the workshop is held, as planned, at CCSF's Mission campus, computers will be provided for workshop exercises. Alternately, students are welcome to bring their own laptops.

  • If the workshop must be moved to another venue, students will be required to bring their own wi-fi enabled laptops to class, either a PC or a Mac. 

Instructor: Andy Lyons - our very own "R" guru!

For more information about this workshop, the GIS Educaton Center, and our refund policy, please visit