Introduction to QGIS
This is a course for meteorologists, geoscientists, analysts and other scientific staff.
Familiarity with programming concepts (in any language) is assumed.
By the end of the course, you will have all the knowledge you need to start working competently with QGIS for analysing and processing geospatial data and producing publication- quality maps
Day 1: Basic Geoprocessing with QGIS
Day 1 teaches the basics of using QGIS for general geoprocessing tasks. The syllabus is:
Setting up / installing QGIS (optional)
Reading in spatial data (rasters and vectors)
Managing different raster and vector data formats
Projections in QGIS, specifying customised projections
Producing publication-quality maps in QGIS
Data editing. Adding layers / editing layers. Coordinate geometry, bearings and distances
Day 2: Extending QGIS
This day teaches how to build upon the basics using QGIS plugins and writing your own extensions.The syllabus is:
Bringing in QGIS extensions via the QGIS package manager. How to install 3rd-party extensions.
QGIS processing extension: a visual tool for chaining processes together.
Serving / publishing data through QGIS server.
Introduction to making custom QGIS extensions
We will supply you with printed course notes and a USB stick containing a complete Python environment based on VirtualBox. This saves time in the course and allows us to focus on using Python rather than installing it.
The USB stick also contains kitchen-sink Python installers for multiple platforms, solutions to the programming exercises, several written tutorials, and reference documentation on Python and the third-party packages covered in the course.
- Personal help:
- Your trainer(s) will be available after the course each day for you to ask any one-on-one questions you like — whether about the course material and exercises or about specific problems you face in your work and how to use Python to solve them.
- Food and drink:
- We will provide lunch, morning and afternoon tea, and drinks.
- The course will run from 9:00 to roughly 17:00 each day, with a breaks of an hour for lunch and 15 minutes each for morning and afternoon tea.
19/06/2017 at Melbourne
We also offer custom courses on-site for teams within organisations. These are particularly appropriate if your team uses particular tools or data sources in its workflow. Please contact us to discuss your requirements.