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Course information

  • Install Python + libraries
  • Recommended readings
  • License and terms of usage
  • Attribution

Presentations

  • Introduction to the course
  • SDS & Sustainable mobility

Tutorials

  • Tutorial 1 - Spatial analysis with Python
  • Tutorial II: Spatial accessibility modelling with r5py

Exercises

  • Exercises 1-2
  • Repository
  • Suggest edit
  • .rst

Recommended readings

Contents

  • Python GIS
  • Spatial accessibility
  • Sustainability
  • Spatial Data Science

Recommended readings#

Thinking of the breadth of the scope in this course (sustainable mobility + SDS), there are countless of valuable articles, books and other resources that are “good reads”. Here, we list only a fraction of resources that we think can be useful to learn more about the topics.

Python GIS#

  • Tenkanen, H., V. Heikinheimo & D. Whipp (forthcoming). Free online book: Introduction to Python for Geographic Data Analysis. CRC Press.

  • Rey, S., D. Arribas-Bel & L. Wolf (2023). Free online book: Geographic Data Science with Python . CRC Press.

  • Automating GIS Processes -course (2022). Free online course about Python GIS.

  • Geo-Python -course (2023). Free online course that teaches the basics of Python for geo-minded people.

Spatial accessibility#

  • Fink, C., W. Klumpenhouwer, M. Saraiva, R. Pereira & H. Tenkanen (2023). r5py: Rapid Realistic Routing with Python

  • Saraiva, M. R. Pereira, D. Herszenhut, C. Kaue Braga & M. Wiggington Conway (2023). r5r: Rapid Realistic Routing with R

  • Pereira R. & D. Herszenhut (2023). Free online book: Introduction to urban accessibility

  • Willberg, E., H. Tenkanen, H. Miller, R. Pereira & T. Toivonen (2023). Measuring just accessibility within planetary boundaries. Transport Reviews.

  • Tenkanen, H., R. Pereira, E. Arcaute & M. Gonzalez (2023). Special Issue: Advances in geospatial approaches to transport networks and sustainable mobility. Environment and Planning B: Urban analytics and City Science

Sustainability#

  • Rockström, J. et al. (2009). A safe operating space for humanity. Nature.

  • Steffen, W. et al. (2015). Planetary boundaries: Guiding human development on a changing planet. Science (80-. ). 347, 1259855.

  • Steffen, W. et al. (2015). The trajectory of the Anthropocene: The Great Acceleration. Anthr. Rev. 2, 81–98.

  • Steffen, W. et al. (2018). Trajectories of the Earth System in the Anthropocene. Proc. Natl. Acad. Sci. U. S. A.

  • Meyer, K. & Newman, P. (2018). The Planetary Accounting Framework: a novel, quota-based approach to understanding the impacts of any scale of human activity in the context of the Planetary Boundaries. Sustain. Earth 1, 4.

  • Sachs, J. et al. (2019). Six Transformations to achieve the Sustainable Development Goals. Nat. Sustain. 2, 805–814.

Spatial Data Science#

  • Singleton, A. & Arribas‐Bel, D. (2019). Geographic Data Science. Geogr. Anal. 1–15.

  • Wolf, L. et al. (2020). Quantitative geography III: Future challenges and challenging futures. Prog. Hum. Geogr. 1–13.

  • Yuan, M. (2020). Geographical information science for the United Nations’ 2030 agenda for sustainable development. Int. J. Geogr. Inf. Sci. 1–8.

  • Dodge, S. (2021). A Data Science Framework for Movement. Geogr. Anal. 53, 92-112.

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Install Python + libraries

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License and terms of usage

Contents
  • Python GIS
  • Spatial accessibility
  • Sustainability
  • Spatial Data Science

By Henrikki Tenkanen

© Copyright 2024, Henrikki Tenkanen, Dept. of Built Environment, Aalto University.