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Home#

Welcome to “Geographic Analysis with OpenStreetMap Data”, a course designed by Benjamin Herfort and colleagues.

OpenStreetMap data is omnipresent when performing GIS analyses. For instance, OSM data has been used to monitor progress towards the Sustainable Development Goals, estimate the physical access to health care facilities or to quantify land use and land cover changes. And due to its Open Data approach and a growing community of individuals and “professional” stakeholder such as companies or humanitarian organisations, we can expect OSM to become “the” global geodata source of the future. It’s time to get prepared for this and learn how to use OSM for various purposes and understands its (current) limits.

Contact#

Benjamin Herfort - benjamin.herfort [at] heigit.org
Research Associate
HeiGIT gGmbH, affiliated Institute at Heidelberg University
Heidelberg Institute for Geoinformation Technology
Berliner Str. 45 (Mathematikon)
D-69120 Heidelberg

Dates and Topics#

#

date

topics

00

24.10.2024

First Session: Getting to know each other

01

31.10.2024

Infrastructure Setup
Exercise 00: Getting Started with QGIS and Python

02

07.11.2024

Introduction to OSM data structure

03

14.11.2024

Exercise 01: Schools Count

04

21.11.2024

Exercise 02: Analysing Bias and Inequalities in OSM

05

28.11.2024

Introduction to Dimensions of Spatial Data Quality
Exercise 03: Positional Accuracy

06

05.12.2024

First Test (25P)

07

12.12.2024

Exercise 04: Completeness I

08

19.12.2024

Exercise 05: Currentness <br/Retrospective and Feedback Test 01

26.12.2023

FREE

02.01.2024

FREE

09

09.01.2025

Exercise 06: Completeness II - Mapping Saturation

10

16.01.2025

Second Test (25P)

11

23.01.2025

Exercise 07: Combine OSM and Copernicus EMS data

12

30.01.2025

Exercise 08: Healthcare Access Analysis

13

06.02.2025

Last Session: Wrap Up

31.03.2025

Third Test (50P)