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.
Map:
View in Google Maps (WC1H 0AY)
Venue:
University of Liverpool in London
33 Finsbury Square, London
Description:
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:
Quantitative Data Handling and Data Analysis
Spatial Data Analysis
Geographical Information System (GIS)
Geodemographics
Q Methodology