Python GIS 2018 - Python GIS 2018 - Training
|Date:||12.11.2018 9:00 - 14.11.2018 17:00|
|Location details:||The event is organised at the CSC Training Facilities located in the premises of CSC at Keilaranta 14, Espoo, Finland. The best way to reach us is by public transportation; more detailed travel tips are available.|
|lecturers:|| Henrikki Tenkanen (University of Helsinki) |
|The fee covers all materials, lunches as well as morning and afternoon coffees.|
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.
This course teaches you how to do different GIS-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 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.
We will be useing open-source Python packages, not ArcPy (used in ArcGIS).
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
- Working with OpenStreetMap data
- Raster data processing in Python
- Running Python scripts on CSC's Taito supercluster
- Basics of geoinformatics.
- Basic use of 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 GeoPython course.
|9:00-10:30||Lesson 1: GIS in Python; Spatial Data Model, Geometric Objects, Shapely|
|10:45-12:15||Lesson 1 continues|
|13:00-14:30||Lesson 2: Working with (Geo)DataFrames|
|14:45-16:15||Lesson 2 continues|
|9:00-10:30||Lesson 3: Geocoding and spatial queries|
|10:45-12:15||Lesson 3 continues|
|13:00-13:15||Running Python scripts on CSC's Taito supercluster|
|13:15-14:30||Lesson 4: Geometric operations, reclassifying data|
|14:45-16:15||Lesson 4 continues|
|9:00-10:30||Lesson 5: Working with OpenStreetMap data|
|10:45-12:15||Lesson 5 continues|
|13:00-14:30||Lesson 6: Raster data processing in Python|
|14:45-16:15||Lesson 6 continues|