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SPATIAL DATA ANALYSIS WITH R
University of London, Senate House, University of London, Malet St, London WC1E 7HU
View in Goolge Maps (WC1E 7HU)
LONDON at London University Senate House
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 working with spatial data thanks to its powerful analysis and visualisation packages.
The course demonstrates the many useful features that are hidden away in package documentation. The functions get_map() and getData(), from the ggmap and raster packages, for example, allow users to download data from anywhere in the world into R directly. Participants will be introduced to functionality in R that is very difficult to achieve in other software, such as the clustering of points into polygons and geographically weighted regression. The focus is on the principles rather than the specific methods, providing participants with the understanding needed to apply R's powerful suite of geographical tools to their own problems.
It is expected that participants have basic R experience, e.g. attending the Introduction to R and Introduction to Programming courses. The course will be hands-on and applied with short introductory lectures to each of the topics, followed by practical sessions loading and analysing real spatial datasets.
This course will be structured as follows:
Dr Colin Gillespie/Dr Jamie Owen
Jumping Rivers ltd
Intermediate (some prior knowledge)
£450 + Vat (25% discount to academics & charity)
Website and registration
Esther Gillespie, firstname.lastname@example.org, 07740285328
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