General info

Lecturers:

• Alexander Kmoch (Python), Email: alexander.kmoch@ut.ee
• Desalew Moges (R), Email: desalew.moges@ut.ee
• Marta Jemeljanova (Python)
• Holger Virro (Python)
• Anto Aasa (R)

Course websites

• General Moodle course site: https://moodle.ut.ee/course/view.php?id=10545
• Lectures course materials: https://aoraki.domenis.ut.ee/geopython-and-r

Textbooks

There are no required textbooks for this course. This course uses a wide range of sources for course information and the main textbooks are given below.

Recommended textbooks (in order of relevance):

• Zelle, J. (2010) Python Programming: An Introduction to Computer Science, Second edition. Franklin, Beedle & Associates.
• Lawhead, J. (2015) Learning Geospatial Analysis with Python: An effective guide to geographic information systems and remote sensing analysis using Python 3, Third edition. Packt Publishing.
• McKinney, W. (2012) Python for Data Analysis: Data wrangling with Pandas, NumPy and iPython, First edition. O´Reilly Media.

Optional textbooks:

• Gary Sherman (2018) The PyQGIS Programmer's Guide: Extending QGIS 3 with Python 3. With PyQGIS you can write scripts and plugins to implement new features and perform automated tasks.
• Westra, E. (2016) Python Geospatial Development: Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development, Third edition. Packt Publishing.
• Zandbergen, P. (2013) Python Scripting for ArcGIS Pro, Alternate edition. ESRI press.
• Diener, M. (2015) Python Geospatial Analysis Cookbook: Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python. Packt Publishing.