Introduction to QGIS for ecologists (QGSE01)
15th April 2019 - 19th April 2019£275.00 - £480.00
This course aims at providing audience with the basic tools for ecological data management and analyses, through the Geographical Information System software QGIS, with the particular objective of creating spatially explicit datasets for ecological analyses (e.g. species distribution models, resources and habitat selection, home range analyses…).
Practical sessions will use the free software QGIS – prior experience is not necessary. Example data will be provided but participants may also bring their own data.
Students and early career researchers without any prior knowledge of GIS software, who are interested in using such tools for ecological application. The skills learnt can also be applied by management and environmental 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 21st April (after 5pm) and departure Friday 26th April (accommodation must be vacated by 9:15am).
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.
Some introduction lectures on each topic (see detailed programme) will be given. However, most of the course will be based on practical sessions where you will be lead to complete some tasks, commonly faced by researcher in ecology, biology and environmental sciences.
Assumed computer background
Prior experience with GIS software is not necessary. A basic knowledge of spreadsheet (e.g. Excel) is recommended.
Equipment and software requirements
A laptop/personal computer with a working version of QGIS and Excel (or any equivalent spreadsheet software) installed. QGIS is supported by Windows, Mac and Linux and can be downloaded for free by following these links.
Free alternative to Excel can be found at:
It is essential that you come with all necessary software and packages already installed (you will be sent a list of packages prior to the course) internet access may not always be available.
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 15th – Classes from 09:30 to 17:30
Introduction to QGIS: basic tools, main plugin, file formats, layer management.
Coordinate reference systems.
Types and structure of spatial objects in QGIS.
Generating and manipulating spatial objects, projections and transformations.
Tuesday 16th – Classes from 09:00 to 17:00
Raster data: plot and visualisation of raster.
Informative and non-informative raster.
Operations with raster.
Wednesday 17th – Classes from 09:30 to 17:30
Vector data: points, lines, polygons.
How to import and manipulate vector data.
Plot and visualisation of vectors.
Geoprocessing tools: Overlay, clip, intersection, union, difference.
Thursday 18th – Classes from 09:30 to 17:30
Selection tools: by feature and by location.
Basic spatial analyses: cropping and masking spatial objects.
Zonal statistics and landscape metrics.
Extracting covariate data and other simple GIS operations.
Friday 19th – Classes from 09:30 to 16:00
GPS and mobile GIS.
Map composer: creating maps for publications, poster, and reports.
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)