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In this course we will cover how to prepare and analyse spatial data in RStudio & GeoDa.

We will use RStudio to perform spatial overlay techniques (such as union, intersection and buffers) to combine different spatial data layers to support a spatial analysis decision. We will also use RStudio and GeoDa to explore a range of different spatial analyses including regression, Moran’s I and clustering. By the end of the course you will understand how RStudio manages spatial data and be able to use RStudio for a range of spatial analysis.

Experience of using R and working with spatial data is highly recommended. If you are not already familiar with the basic elements of GIS or R, you may wish to attend the course “Introduction to Using R for Spatial Analysis” prior to this course where provide these skills (more details athttp://geographicdatascience.com/blog/training/Intro-R-Spatial-Analysis/).

Who teaches the course?

Dr Nick Bearman
Research Associate & University Teacher Geography and Planning

Costs:

£60 – UK registered students
£130 – staff at UK academic institutions and research centres, UK-registered charity and voluntary organisations, staff in public sector and government
£200 – all other participants including staff from commercial organisations
reduced prices are available for University of Liverpool affiliated students and staff cost negotiable for those less able to pay, please contact Nick Bearman for details

Refreshments and lunch are provided, and numbers on the course are limited and allocated on a first come, first served basis.

If you need any more information, please email Nick Bearman at n.bearman@liverpool.ac.uk or soesms@liverpool.ac.uk.

Information on getting to the University is available at:http://www.liv.ac.uk/maps/visiting/

A map of the campus is available at:http://www.liv.ac.uk/files/docs/maps/liverpool-university-campus-map.pdf

The Sydney Jones Library is building number 423 in grid F3 on the map.