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Introduction to spatial analysis of ecological data using R (ISPE01)

29 July 2019 - 2 August 2019

£275.00 - £500.00

Course overview:

The aim of the course is to introduce you to a spatial data processing, analysis, and visualization capabilities of the R programming language. It will teach a range of techniques using a mixture of lectures, computer exercises and case studies.

By the end of the course participants should:

  • Understand the basic concepts of spatial data analysis
  • Know R’s spatial capabilities
  • Understand how to import a range of spatial data sources into R
  • Be confident with using R’s command-line interface (CLI) for spatial data processing
  • Be able to perform a range of attribute operations (e.g. subsetting and joining), spatial operations (e.g. distance relations, topological relations), and geometry operations (e.g. clipping, aggregations)
  • Understand coordinate reference systems (CRSs), be able to decide which CRS to use, and how to reproject spatial data
  • Know how to visualize the results of a spatial analysis in the form of static and interactive maps
  • Have the confidence to apply spatial analysis skills to their own projects

Intended Audience

  • Academics and post-graduate students working on projects related to spatial data and want access to a powerful (geo)statistical and visualization programming language.
  • Applied researchers and analysts in public, private or third-sector organizations who need the reproducibility, speed and flexibility of a command-line language such as R.

The course is designed for intermediate-to-advanced R users interested in spatial data analysis and R beginners who have prior experience with geographic data.

Venue – PR statistics head office, 53 Morrison Street, Glasgow, G5 8LB Google Map
Availability – 20 places
Duration – 5 days
Contact hours – Approx. 35 hours
ECT’s – Equal to 3 ECT’s
Language – English

Packages

We offer COURSE ONLY and ACCOMMODATION PACKAGES;
• COURSE ONLY – Includes lunch and refreshments.
• ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast, lunch, welcome dinner Monday evening, farewell dinner Thursday evening, refreshments and accommodation. Self-catering facilities are available in the accommodation. Accommodation is approximately a 6-minute walk from the PR informatics head office. Accommodation is multiple occupancy (max 3-4 people) single sex en-suite rooms. Arrival Sunday 28th July (after 5pm) and departure Friday 2nd August(accommodation must be vacated by 9am). 

To book ‘COURSE ONLY’ with the option to add the additional ‘ACCOMMODATION PACKAGE’ please scroll to the bottom of this page.

Other payment options are available please email oliverhooker@prstatistics.com

Cancellation policy: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact oliverhooker@prstatistics.com Failure to attend will result in the full cost of the course being charged. In the unfortunate event that PR~statistics must cancel this course due to unforeseen circumstances a full refund for the course will be credited. However PR~statistics cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.

Dr. Jakub Nowosad

 

Teaching Format
Course Programme
Testimonial

Details

Start:
29 July 2019
End:
2 August 2019
Cost:
£275.00 - £500.00

Venue

PR statistics head office
53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom
+ Google Map
Phone:
07966500340
Website:
www.prstatistics.com

Tickets

20 available
ISPE01 'COURSE ONLY'£500.00'COURSE ONLY' £500.00 (INC VAT@20%) Places 1-20
20 available
ISPE01 ‘ACCOMMODATION PACKAGE’£275.00'ACCOMMODATION PACKAGE'’ £275.00 (INC VAT@20%) Places 1-20