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Royal Statistical Society Course - Spatial Data Analysis in R

Dates:27 September 2019
Times:All day
What is it:Short course
Organiser:methods@manchester
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
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  • In category "Short course"
  • In group "(ALC) methods@manchester"
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A one-day foundation course delivered by the Royal Statistical Society in partnership with methods@manchester

Course Outline

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. Learning Outcomes

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.

Topics Covered

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 Webmaps

Target Audience

Participants with spatial data problems who are not making use of R and are falling behind in the ever changing world of data science.

Assumed Knowledge

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.

Fees

Registration before 30 August 2019

Non Member £382+vat

RSS Fellow £324+vat

RSS CStat: also MIS, FIS & GradStat £306+vat

Registration on/after 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 training@rss.org.uk 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

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Room 8 Manchester Meeting Place
Manchester Meeting Place

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Daniel Evans

01612754269

methods@manchester.ac.uk

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