Geospatial Data Processing using Python

Geospatial Data Processing using Python

Geospatial Data Processing using Python (Martin Christen) (Switzerland) is an English session in the online PyCon HK 2020 Spring.

The need for processing small-scale to large-scale spatial data is huge. In this talk, it is shown how to analyze, manipulate and visualize geospatial data by using Python and various open source modules.
Geospatial data is data containing a spatial component – describing objects with a reference to the planet’s surface. This data usually consists of a spatial component, of various attributes, and sometimes of a time reference (where, what, and when). Efficient processing and visualization of small to large-scale spatial data is a challenging task. This talk describes how to process and visualize geospatial data using Python and the Jupyter Notebook. For the examples, open data, such as OpenStreetMap is used.

Presentation Content:

Level: Beginner
Language: English

Speaker Bio: Martin Christen

Martin Christen is a professor of Geoinformatics and Computer Graphics at the Institute of Geomatics Engineering at the University of Applied Sciences Northwestern Switzerland (FHNW). His main research interests are geospatial Virtual- and Augmented Reality, 3D geoinformation, and interactive 3D maps.

Martin Christen is very active in the Python community. He teaches various Python-related courses and uses Python in most research projects. He organizes the PyBasel meet up – the local Python User Group Northwestern Switzerland. He also organizes the yearly GeoPython conference. He is a board member of the Python Software Verband e.V. and the EuroPython Society.

Session Time in HKT: 5:00 PM on 9 May 2020 Saturday.
Session Time in GMT: 9:00 AM on 9 May 2020 Saturday.