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Basic information

  • Install Python + R libraries
  • License and terms of usage
  • Attribution

Presentations

  • Introduction to the workshop
  • Introduction to spatial accessibility modelling with open tools
  • Advanced features of r5r

Demo

  • Python: Basic usage of r5py
  • R: Basic usage of r5r

Tutorials

  • r5py: Case Brighton - Calculate travel time matrices in Python
  • r5r: Case Brighton - Calculate travel time matrices in R
  • Shortest Path Analysis with Python

Exercises

  • Exercises 1-4

Extra materials

  • r5r: Advanced tutorials
    • r5r: Access to opportunities
    • r5r: Accounting for monetary costs
  • Data processing with Python
    • Introduction to version control with JupyterLab
    • Introduction to spatial analysis with Python
    • Extract population data for Brighton & Hove from Worldpop
    • Download OpenStreetMap POI data for Brighton & Hove
    • Download elevation data
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r5r: Advanced tutorials

r5r: Advanced tutorials#

Sections

  • r5r: Access to opportunities
  • r5r: Accounting for monetary costs

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Exercises 1-4

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r5r: Access to opportunities

By Henrikki Tenkanen & r5py/r5r contributors.
© Copyright 2022, Henrikki Tenkanen (Aalto University) & r5py/r5r contributors..