Python for Geospatial Analysis (2023)

The PhD course Python for Geospatial Analysis will provide an introduction to Python with a focus on mapping, exploring, processing, and analysing geospatial information using Python. Participants will learn how tasks traditionally conducted in a desktop GIS system can be easily transferred to Python code and therefore made faster, more flexible, and completely reproducible, which is an aspect of increasing importance in many research fields. At the end of this course, participants will have a solid understanding of the capabilities of core Python modules for geospatial information such as fiona, geopandas, pysal, or rasterio and be able to apply them in their own research.

This course will focus on geospatial analysis in “pure” Python, i.e., automation of tasks in ArcGIS or QGIS with Python is out of scope for this course. However, participants looking to do this should be sufficiently proficient in Python after this course to accomplish these tasks on their own.

Day 1: General introduction to Python, mapping and explorative analysis of geographic information

Day 2: The Python stack for geospatial analysis

Day 3: Using geospatial web services from Python


Organizer:        

Lecturers:          Jamal Jokar Arsanjani, Carsten Kessler, Marina Georgati

ECTS:                3

Time:              24 April – room 2.3.044
                        25 April – 2.1.042

                        26 April – 0.001A

Zip code:

City:

Number of seats:     20

Deadline:         3 April 2023

Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.