This course teaches you how to do different geospatial related tasks in Python programming language. Each lesson is a tutorial with specific topic(s) where the aim is to learn how to solve common GIS-related problems and tasks using open-source Python tools. In the lessons we use only publicly available data which can be used and downloaded by anyone anywhere. The course is based on Helsinki University's course Automating GIS processes.
Topics of the course
- GIS in Python; Spatial Data Model, Geometric Objects, Shapely
- Working with (Geo)DataFrames
- Geocoding and spatial queries
- Geometric operations, reclassifying data
- Visualization, static and interactive maps
- OSM data aquisition and simple network analysis
- Raster data processing in Python
Prerequisities
Basics of geoinformatics and Python; no earlier experience with Python GIS packages is needed.
If you need to refresh your Python skills you can go through the materials of Helsinki University's GeoPython course.
Notes
This course will be offered in person as well as online. Please note though, that the course experience will be better in person. For participants joining the course on site in Espoo, lunch and a snack is included in the price.
We'll use CSC Notebooks with JupyterLab for exercises, no local installations are needed.
Program
Day 1, Monday
| 9:00-10:30 | Lesson 1: GIS in Python; Spatial Data Model, Geometric Objects, Shapely |
| 10:30-10:45 | Coffee break |
| 10:45-12:15 | Lesson 1 continues |
| 12.15-13:00 | Lunch break |
| 13:00-14:30 | Lesson 2: Working with (Geo)DataFrames |
| 14:30-14:45 | Coffee break |
| 14:45-16:15 | Lesson 2 continues |
Day 2, Tuesday
| 9:00-10:30 | Lesson 3: Geocoding and spatial queries |
| 10:30-10:45 | Coffee break |
| 10:45-12:15 | Lesson 3 continues |
| 12.15-13:00 | Lunch break |
| 13:00-13:15 | Running geospatial Python scripts on the supercomputer |
| 13:15-14:30 | Lesson 4: Geometric operations, reclassifying data |
| 14:30-14:45 | Coffee break |
| 14:45-16:15 | Lesson 4 continues |
Day 3, Wednesday
| 9:00-10:30 | Lesson 5: Map visualisation |
| 10:30-10:45 | Coffee break |
| 10:45-12:15 | Lesson 6: OSM data acquisition and network analysis |
| 12.15-13:00 | Lunch break |
| 13:00-14:30 | Lesson 7: Raster data processing in Python |
| 14:30-14:45 | Coffee break |
| 14:45-16:15 | Lesson 7 continues |
Lecturers
Kamyar Hasanzadeh, University of Helsinki
Support: Samantha Wittke, CSC and Kylli Ek, CSC
Price
- EUR 180 (+24% VAT) for Finnish Universities or institutions for higher education & Finnish state research institutions or government organizations
- EUR 840 (+24% VAT) for Other
Registration deadline: 25.02.24, online 28.02.24
Payment
Payment can be made with electronic invoicing, credit card, or direct bank transfer. Note that for electronic invoicing you need the operator and e-invoicing address (OVT code) of your organization. Please also note that invoice reference is needed for electronic invoicing in your organization, so please have this available when registering.
Organizer
