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*Apologies for cross-posting*

 

Introductory R for Spatial Analysis

 

Organising Institution: University of Leeds

 

Event address:  Room G19, East Building, School of Geography, University of Leeds, LS2 9JT

  

Date/Times:  November 10, 9:30am-4:30pm

 

Name of instructor: Dr Robin Lovelace

 

Cost: £60 for UK registered postgraduate students; £120 for academics/staff at Institutes of Higher Education, public sector staff and staff at registered charity organisations. £220 for all others. (Fee includes lunch and refreshments)

 

Event Description: As spatial datasets get larger and more sophisticated, software needs to be harnessed for their analysis. R is now a widely used open source software platform for statistical analysis and is increasingly popular for those working with spatial data thanks to its powerful analysis and visualisation packages.  This course introduces the basics of how R can be used for spatial data. No previous experience of computer programming is required, but participants would benefit from some experience of GIS and spatial data formats and concepts.

 

Course Content

 9:00 - 9:30: Registration and refreshments

•             An introduction to R (9:30 - 10:30)

•             Loading and interrogating spatial data (10:30 - 11:30)

•             Manipulating spatial objects (11:30 - 12:30)

LUNCH

•             Making maps in ggplot2 (13:30 - 14:30)

•             Basemaps (14:30 - 15:30)

15:30 - 15:45 Refreshments

•             More advanced visuals (15:45 - 16:00)

•             Taking it further + Q & A (16:00 onwards)

 

Background reading: “A (very) short introduction to R”, Paul Torfs & Claudia Brauer

http://cran.r-project.org/doc/contrib/Torfs+Brauer-Short-R-Intro.pdf

 

 PLEASE NOTE: Participants will have full access to PCs, so there is no need to bring laptops.

 

To book onto this please visit: http://store.leeds.ac.uk/browse/extra_info.asp?compid=1&modid=2&deptid=9&catid=47&prodid=467

 

For further information, please contact Alison Suckall at: [log in to unmask] or at 0113 343 6630