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Spatial Analytics for Public Health Researchers

24th October 2017 @ 9:30 am - 4:30 pm

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As spatial datasets get larger more sophisticated software needs to be harnessed for their analysis. R is now a widely used open source software platform for statistical analysis and is increasingly popular for those working with spatial data thanks to its powerful analysis and visualisation packages. This course introduces the basics of how R can be used for spatial data.

Programme Objectives

  1. To understand common spatial units in the UK
  2. To use open resources to match data at different spatial scales
  3. To generate a map of public health data (in a licenced and open source software)

Is this course for me?

This course is for researchers who want to start looking at spatial or social variations in their data and generating maps to present results. The course will assume that your knowledge of spatial scales and generation of maps is zero. Examples will all be from a public health context.


Students: £70
University, public and charitable staff: £120
Other: £300

Further Information 

For further information please contact Eleri Pound



24th October 2017
9:30 am - 4:30 pm
Event Category:


Leeds Institute for Data Analytics
University of Leeds
Leeds, LS2 9JT United Kingdom
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