Please Note: This course will be delivered to booked delegates remotely via Zoom on 23 November 9:50am - 1pm, a second Zoom session on 24 November 9:50am - 1pm, a third session on 25 November 9:50am - 1pm and a final session on 26 November 9:50am - 1pm.
maximum delegate number for the course remains unchanged in order to
ensure value and interactivity and as such if the button below says 'Add
name to waiting list' then the course is fully booked.
This intermediate level event focuses on using QGIS as a tool for data analysis and producing more complex maps accurately and efficiently. The course offers ideal progression from our entry level QGIS training and includes some pre-event work to help ensure all delegates have a similar level of QGIS knowledge prior to attendance.
Sessions will explore how to quickly and efficiently digitise complex maps and how to correct digitising errors using a range of QGIS tools and plugins. Users will be shown how to georeference scanned maps for use in QGIS and how to download and use various Open datasets so they can use their own maps to create backdrops for their project.
Much of the event focuses on using QGIS as a tool for data analysis including querying data to create subsets of features from layers and analysing spatial relationships between features. For example we show how buffering and nearest neighbour analysis can be used to establish how far a bat roost is from key features in the landscape.
The event is suitable for anyone who is proficient at basic map production (e.g. habitat maps) and wishes to use QGIS for more advanced tasks such as producing complex maps and for analysing environmental data. The training consolidates and builds on many of the topics introduced in our entry level QGIS training. Ideally delegates will have attended an introductory course and should be familiar with all basic functions including loading vector and raster data, basic symbology including categorizing data, basic point, line and polygon digitizing and using the Print Composer to create maps.
The event will combine demonstration with exercises to consolidate learning after every session. There will be some pre-event work to help to ensure all delegates have a similar level of QGIS knowledge prior to attendance.
Delegates should bring their own laptop pre-loaded with QGIS and relevant plug ins. Further details will be provided prior to the training.
PLEASE NOTE: If government restrictions do not allow this course to proceed as in-person classroom based course as planned, then it will be delivered online as a series of remote sessions. We will of course keep all delegates updated.
Who Should Attend?
Ecological Consultants, Wildlife Trusts, Land Managers, Rangers, Statutory Agency staff, conservation practitioners, students.
Attendees should have attended the Introduction to QGIS training and / or hold a good basic working knowledge of QGIS including the ability to carry out the following operations: create projects from existing vector and raster data, symbolise layers, digitise points, lines and polygons, create vector data from GPS/Excel files, use Print Composer to create maps.
- Integrate data from and export data to other GIS systems, AutoCAD and GPS and use table Joins to link existing shapefiles with spreadsheets.
- Analyse ecological data by using geoprocessing tools including buffering around features and carrying out nearest neighbour analysis.
- Interrogate ecological data by carrying out queries using a combination of Spatial Query, Select by expression & Field Calculator.
- Reduce and resolve vector topology problems such as polygon gaps, overlaps and slivers using Snapping, Validity Checker and the QGIS GRASS plugin.
- Georeference scanned maps and other raster data for use in QGIS.
- Improve speed and accuracy of digitising polygons using Advanced Digitising Tools.
- Download and use data from free Web Mapping and Feature Services (WMS/WFS) including Open Street Map.
Refreshments will be provided throughout each day of training. Please bring your own packed lunch.
Non Member Ticket