The first session in this series is an introduction to GIS & GIS concepts using QGIS, on 2 Oct, 09:30, NIWA Greta Point, Wellington. It will cover basic layers, data types, data sources, projections, and comprise a half hour presentation, followed by about an hour of hands on data visualisation with QGIS accessing files and web services.
Email me if you are interested: firstname.lastname@example.org
This one is done, about 20 attendees, mostly NIWA staff.. It was described as "great", "awesome" & "very useful" in feedback, so very positive. There are about 10 or so people who were interested but couldn't get to this one, so I'm planning a repeat in a few weeks. If anyone who has not yet contacted me is interested in this, please let me know. The hands on went on for about 1.5-2 hours, working through various topics with real examples.
Feel free to add to this list, with any suggestions for aspects you are interested in learning more about. I know there are others in NIWA who use these tools, and hope that they will also help train and mentor NIWA staff to grow the use of these tools in NIWA. The initial list is from emails from staff who have contacted me about this training. I note that some of these topics are outside my expertise, but there are other NIWA staff I'm aware of that I can ask to cover most of these.
General introduction for GIS newbie
Finding and opening files, databases and OGC web services to add them to my QGIS map
General introduction for Arc user/previous GIS user
Access to remote Specify databases
Creating/plotting polygons representing (and derived from) my point data
Creating and using polygons to select subsets of data
Data visualisation, [publication] quality maps (print composer)
How to create plugins using Python
Creating and using shapefiles
Working with aerial imagery and video data
Postgres (Postgis) topics.
How to get data from the fisheries trawl database.
Long term data management n]
Design/create/populate/manage my own databases
Database query and analysis
Scripted (R, Python, shell) access to Postgres databases
Spatial data (Postgis) background and fundamentals
Multiple projections in Postgis