An Introduction to Spatial Microsimulation using R
Date:
18/09/2014 - 19/09/2014
Organised by:
University of Leeds
Presenter:
Dr Robin Lovelace
Level:
Entry (no or almost no prior knowledge)
Contact:
Amy O'Neill at a.oneill@leeds.ac.uk or on 0113 343 3535
Map:
View in Google Maps (CB3 9DT)
Venue:
Room S1,S044-01-0034, First Floor, Alison Richard Building, Sidgwick Site, University of Cambridge, Cambridge
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.
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 ( http://eprints.ncrm.ac.uk/3348/ ). Example data and code will be provided with explanation of how to modify the method tackling specific research problems.
PLEASE NOTE: Participants are expected to bring their own laptops.
Cost:
£45 for UK registered postgraduate students; £90 for academics/staff at Institutes of Higher Education, public sector staff and staff at registered charity organisations. £220 for all others.
Website and registration:
http://store.leeds.ac.uk/browse/extra_info.asp?compid=1&modid=2&deptid=9&catid=47&prodid=449
Region:
South East
Keywords:
Quantitative Data Handling and Data Analysis, Statistical Theory and Methods of Inference, Spatial Data Analysis, Simulation , Spatial Microsimulation , R , Statistical methods
Related publications and presentations:
Quantitative Data Handling and Data Analysis
Statistical Theory and Methods of Inference
Spatial Data Analysis
Simulation