VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.

701-1776-00L 1 Credits DR , MSC D-USYS , D-ERDW
You're viewing possible stale or outdated data. Please check the latest semester for more up-to-date information.

Geographic Data Processing with Python and ArcGIS

Lecturers & Examiners: Dr. Andri Baltensweiler
VVZ CR n/a

Last Updated: 2026-02-05 16:30:44

Abstract

The course communicates the basics of the Python programming language and provides a general introduction to the ArcGIS Pro Python scripting framework. It also introduces several Python libraries (pandas, numpy, scipy, statsmodels, geopandas, rasterio) that greatly extend the capabilities of spatial data analysis and modelling.

Objective

Students will learn the basics of geographic data processing using the Python programming language and ArcGIS Pro (arcpy). They will be able to implement their own geoprocessing scripts for spatial data analysis and modelling. Students will be able to integrate open source libraries into their Python scripts and know how to apply the libraries to geospatial datasets.

Content

The course covers basic Python language concepts such as data types, control structures and functions. These concepts are then used to gain a deeper understanding of ArcGIS Pro's geoprocessing framework (arcpy). This includes vector data processing functions as well as geoprocessing functions for raster data analysis. It also introduces the use of key Python libraries in conjunction with geospatial datasets.

Resources

Lecture Notes

Lecture notes, exercises and worked-out solutions will be provided.

Literature

Lutz M. (2013): Learning Python, 5th Edition, O'Reilly Media Zandbergen P. A. (2020): Python Scripting for ArcGIS Pro. Esri Press. Zandbergen P. A. (2020): Advanced Python Scripting for ArcGIS Pro. Esri Press. De Smith M., Goodchild, M.F., Longley, P. A. (2018): Geospatial Analysis, 6th Edition, Troubador Publishing Ltd.

General Information

Language
English
Levels
DR , MSC
Frequency
Yearly recurring

Examination

Type
ungraded semester performance

Registration & Places

Max Places
30

Course Components

Type Title Time & Place Hours
exercise Geographic Data Processing with Python and ArcGIS
3-day block course: Wednesday 11.09.2024 through Friday 13.09.2024. Lecture Room NOD39
  • 11.09 Date 09:15-17:00 (NO D 39)
  • 12.09 Date 09:15-17:00 (NO D 39)
  • 13.09 Date 09:15-17:00 (NO D 39)
30 h semesterly

Offered In