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An Introduction to Spatial Microsimulation Using R  

Date of event: 18 – 19 September 2014. Last Booking Date for this Event: 10 September 2014
Location: University of Cambridge
Places available: 25
Instructor: Dr Robin Lovelace

Description:Spatial microsimulation is a statistical method by which individual-level data is generated for small areas by combining national surveys with geographically aggregated census data. Much has been written about the technique in academic journals, but there has been less work explaining the practicalities of its implementation, generally, and its customisation for specific purposes.  Journal articles have tended to present key results, but not the underlying code, therefore hindering reproducibility. This 1.5 day course fills this knowledge gap taking an explicitly practical and pragmatic approach to spatial microsimulation. Its aim is to allow attendees to harness spatial microsimulation for their own needs by providing example data and code. To this end the course uses R, a free, open source and extensible statistical language that is becoming the de facto standard for statistical analysis.

Experience: Some experience with R is highly recommended. No prior knowledge of spatial microsimulation is assumed (but would be useful): we will begin from first principles, using simple examples to ensure understanding of every step. Content too will be directed to participants' needs. For more information on the course, please see the NCRM working paper on which the course is based ( ). Example data and code will be provided with explanation of how to modify the method tackling specific research problems.

To book:
For more information contact: Rosie Temple at r.temple(at) Amy O'Neill at a.oneill(at) or on 0113 343 3535


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