- This event has passed.
ONLINE COURSE – Introduction to spatial analysis of ecological data using R (ISPE03) This course will delivered live
18 May 2020 - 21 May 2020
£440.00
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak.
This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.
TIME ZONE – Central European Summer Time – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you).
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 – Delivered remotely
Time zone – Central European Summer Time
Availability – 20 places
Duration – 4 days
Contact hours – Approx. 28 hours
ECT’s – Equal to 3 ECT’s
Language – English
PLEASE READ – 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 a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited.
Dr. Jakub Nowosad
—
Clement Garcia,
