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A workshop on Introduction to Using R for Spatial Analysis is being run with the Consumer Data Research Centre and Geographic Data Science Lab at the University of Liverpool. Date: Liverpool: Friday 2nd October 2015, 9:30am – 4pm Venue: Training Room 1, Sydney Jones Library, University of Liverpool Instructor: Dr Nick Bearman This course will cover an introduction to R, how to load and manage spatial data and how to create maps using R. We will look at appropriate ways of using classifications for choropleth maps, using loops in R to create multiple maps and some basic spatial analysis. We will be using R Studio to work with the R environment. By the end of the course you will be able to load data into R, represent it effectively and be able to prepare an output quality map. Experience of creating maps in ArcGIS, QGIS or similar is required, but experience of using R is not required. Refreshments and lunch are provided, and numbers on the course are limited and allocated on a first come, first served basis. If you are not already familiar with the basic elements of GIS, you may wish to attend the course “Introduction to QGIS: Understanding and Presenting Spatial Data” instead where we build on basic GIS skills (more details at http://geographicdatascience.com/training%20course/2015/07/19/Intro-QGIS-Spatial-Data/ ). Rates: - £45 – UK registered students - £80 – staff at UK academic institutions and research centres, UK-registered charity and voluntary organisations, staff in public sector and government - £200 – all other participants including staff from commercial organisations Reduced prices are available for those less able to pay, please contact Nick Bearman for details. For more details and to book your place, please go to http://geographicdatascience.com/training%20course/2015/07/19/R-Spatial-Analysis-Liverpool/ If you need more information, please email [log in to unmask] or [log in to unmask] Best wishes, Nick. -- Dr Nick Bearman | Research Associate & University Teacher Department of Geography and Planning | University of Liverpool