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Introduction to GIS and spatial analysis with R (GISR01)
22nd April 2019 - 26th April 2019£275.00 - £480.00
This course aims at providing audience with the essential tools for working with spatially explicit data within the statistical environment R, with particular reference to ecological applications (e.g. species distribution models, resources and habitat selection, home range analyses…).
Practical sessions will primarily use the free statistical software, R – prior experience (even if some practice before you come) will be useful. Example data will be provided but participants may also bring their own data.
This workshop is aimed at students and researchers who already have a basic knowledge of R and want to explore its GIS potential 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
A basic knowledge of the statistical software R is essential:
• Main syntax.
• Data import and indexing.
• Operations on dataframes, lists, matrices,
• Writing simple functions.
Some prior knowledge of desktop GIS softwares (ArcGIS, QGIS…) is recommended (although not essential), in particular:
• Creating, importing and editing shapefiles (points, lines and polygons).
• Basic operation on attribute tables (e.g. field calculator).
• Import and visualise vector and raster files.
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
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 22nd – Classes from 09:30 to 17:30
Introduction to GIS: overview of main softwares.
Coordinate reference systems.
Types and structure of spatial objects in R
Generating and manipulating spatial objects, projections and transformations.
Overview of main libraries for spatial objects: sp, sf, rgeos, rgdal, leaflet, mapview, raster.
Tuesday 23rd – Classes from 09:30 to 17:00
Introduction to raster data.
Plot and visualisation of raster.
Informative and non-informative rasters.
Operations with raster.
Wednesday 24th – Classes from 09:30 to 17:30
Vector data: from simple points to SpatialPointsDataFrame (and SpatialLinesDataFrame and SpatialPolygonsDataFrame).
How to import and manipulate vector data.
Plot and visualisation of vectors.
Overlay, clip, intersection, union, difference.
Conversion tools (vector to raster and viceversa).
Thursday 25th – Classes from 09:30 to 17:30
More advanced GIS analyses in R: How to interact vector and raster.
Cropping and masking spatial objects.
Zonal statistics and landscape metrics.
Extracting covariate data and other simple GIS operations in R.
Friday 26th – Classes from 09:30 to 16:00
Combining QGIS and R.
Plotting interactive maps with leaflet and mapview.
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)