Royal Statistical Society Course - Spatial Data Analysis in R
|Starts:||27 Sep 2019|
|Ends:||27 Sep 2019|
|What is it:||Short course|
|How much:||From £306+vat depending on discounted booking date deadlines and RSS affiliation|
|Who is it for:||University staff, External researchers, Current University students|
A one-day foundation course delivered by the Royal Statistical Society in partnership with methods@manchester
As spatial datasets get larger and 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 focus of this course is providing participants with the understanding needed to apply R's powerful suite of geographical tools to their own problems.
Introducing R as a GIS
The structure of spatial objects in R
Loading and interrogating spatial data
Visualisaing spatial datasets
Acquiring external data with R
Point pattern analysis and spatial interpolation
Geographical models in R
Participants with spatial data problems who are not making use of R and are falling behind in the ever changing world of data science.
A basic understanding of the R software is assumed.
Each participant will need to bring their own laptop installed with the latest versions of Rstudio and R software.
30 August 2019
Non Member £382+vat
RSS Fellow £324+vat
RSS CStat: also MIS, FIS & GradStat £306+vat
30 August 2019
Non Member £424+vat
RSS Fellow £361+vat
RSS CStat: also MIS, FIS & GradStat £340+vat
Multiple booking discounts available for bookings of 3 or more places - please contact email@example.com for further information
We accept invoice and card payments
Price: From £306+vat depending on discounted booking date deadlines and RSS affiliation
Travel and Contact Information
Room 8 Manchester Meeting Place
Manchester Meeting Place