An Introduction to Small Area Statistics and Geodemographic Segmentation
Date:
28/10/2015
Organised by:
University College London and University of Liverpool in London
Presenter:
Guy Lansley
Level:
Intermediate (some prior knowledge)
Contact:
Please contact Guy Lansley for further information on the course g.lansley@ucl.ac.uk
Please contact Claudia Seiler, Claudia.Seiler@sbs.ox.ac.uk, if you are a UCL or NW DTC student or a CDRC researcher/student to find out details about free spaces or for any queries on your booking.
Location:
View in Google Maps (WC1H 0AY)
Venue:
University of Liverpool in London
33 Finsbury Square, London
An Introduction to Small Area Statistics and Geodemographic Segmentation
University of Liverpool in London
33 Finsbury Square, London, EC2A 1AG
28th October 2015
9:30 am - 5:00 pm
This 1-day short course provides an introduction to open source georeferenced population data from the UK and geodemographic segmentation.
A mix of lectures and practical tasks equips participants with an understanding on how to obtain and analyse small area data to achieve a good understanding of neighbourhood characteristics. The course also teaches participants how to conduct statistical segmentation techniques in order to produce a composite geodemographic classification.
The practical sessions will provide an introduction to downloading and handling small area population data, and then proceed through a number of techniques used to segment and analyse geodemographic characteristics using multivariate population data. The final session will also teach participants how to visualise their data spatially using a geographic information system. The sessions will use open source software (namely R and QGIS), although no prior experience in these tools is required as a prerequisite.
Contact: Please contact Guy Lansley for further information on the course g.lansley@ucl.ac.uk
www.cdrc.ac.uk
Cost:
Students - £60.00
Staff employed within University, public sector, charitable sector - £100
All other delegates - £300
Website and registration:
Region:
Greater London
Keywords:
Quantitative Data Handling and Data Analysis, Spatial Data Analysis, Geographical Information System (GIS), Geodemographics, Q Methodology, QGIS , R
Related publications and presentations from our eprints archive:
Quantitative Data Handling and Data Analysis
Spatial Data Analysis
Geographical Information System (GIS)
Geodemographics
Q Methodology