Introduction to spatial analysis of ecological data using R (ISPE01)
29 July 2019 - 2 August 2019£275.00 - £500.00
Research postgraduates, practicing academics in ecology, specifically food webs and professionals in government and industry.
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
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 firstname.lastname@example.org
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 email@example.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.
There will be morning lectures based on the modules outlined in the course timetable. In the afternoon there will be practicals based on the topics covered that morning. Data sets for computer practicals will be provided by the instructors, but participants are welcome to bring their own data to discuss if time permits.
Assumed quantitative knowledge
Some basic understanding of how network analysis can be applied.
Assumed computer background
Familiarity with R. Ability to import/export data, manipulate data frames.
Equipment and software requirements
A laptop/personal computer with a working version of R or RStudio installed. R and RStudio are supported by both PC and MAC and can be downloaded for free by following these links
The following libraries should be installed:
UNSURE ABOUT SUITABLILITY THEN PLEASE ASK firstname.lastname@example.org
Meet at Flat 2/1, 43 Cook Street, Glasgow G5 8JN at approx. 17:00 onwards
Monday 29th – Classes from 09:30 to 17:30
Tuesday 22nd – Classes from 09:00 to 17:00
Wednesday 8th – Classes from 09:30 to 17:30
Thursday 9th – Classes from 09:30 to 17:30
Friday 10th – Classes from 09:30 to 16:00
The instructors were excellent and clearly were the reasons for my previous comments. They both combined a deep understanding of statistics and ecology at the same level.Any questions or queries I’ve had, were thus first answered with an ecological point of view and then translated into statistical consideration thereby making much more sense on both side.In addition the course was very well organised, the course director and the two instructors were very friendly as well as professional. On the top of learning many useful things, I’ve also had a very good time during the week there.” Clement Garcia,
Spatial ecologist, Centre For Environment, Fisheries & Aquaculture Science (CEFAS), England
(Attended ADVR course)