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An Introduction to Small Area Statistics and Geodemographic Segmentation, 16 Nov

Description of course

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 g.lansley@ucl.ac.uk

Venue: Please note this event is being held at the University of Liverpool in London.

Registration Fees:
Students – £60.00
Staff employed within University, public sector, charitable sector – £100.00
All other delegates – £300.00

Booking link:
http://www.oxforduniversitystores.co.uk/browse/extra_info.asp?compid=1&modid=2&catid=148&prodid=593

More info:
https://www.cdrc.ac.uk/events/an-introduction-to-small-area-statistics-and-geodemographic-segmentation-2/

An Introduction to Small Area Statistics and Geodemographic Segmentation, 28th Oct, London

This 1-day short course provides an introduction to open source georeferenced population data from the UK and geodemographic segmentation.
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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 g.lansley@ucl.ac.uk

Venue: Please note this event is being held at the University of Liverpool in London.

Registration Fees:

  • Students – £60.00
  • Staff employed within University, public sector, charitable sector – £100
  • All other delegates – £300

To find out more click here.

Harnessing Open Data for Business Advantage (MRS), 5th November

Harnessing Open Data for Business Advantage and SLA members may be interested in attending.

This full day event has been specially designed focus mainly on how users have been applying census and other open data, with an emphasis on ‘how to’ case studies and useful lessons learnt.

The next CGG seminar will focus mainly on how users have been applying census and other open data, with an emphasis on ‘how to’ case studies and useful lessons learnt.

Topics to be covered will include:

  • Techniques for visualising population change
  • Predicting retail performance using data on home and workplace populations
  • Using census migration and commuting data to analyse who moves where
  • Geodemographics of use/engagement with the Internet
  • Open data – suppliers’ update and user experiences
  • Applications and use cases for samples of anonymised raw data from the census
  • Social and cultural influences in the digital age – the balance between individual and area data

MRS are happy to extend the MRS member rate to SLA members.

To find out more and book your place visit: https://www.mrs.org.uk/event/course/2436