.. figure:: img/Sustainable_mobility_banner.png

*Guest lecture, Technical University Munich*: **Spatial data and approaches to study sustainable transport** deals with the use of spatial data science approaches to study sustainable mobility and accessibility in urban environments.

After participating in the event, the student is able to:

- Understand how human well-being and capabilities relate to mobility, and how those can be analyzed using computational approaches
- Understand how modern computational technologies can be used to support open science and reproducible research
- Assess the selected analytical tools and understand their benefits and limitations

..
  - Use open-source spatial analysis libraries to study spatial mobility and accessibility

..
    Course format
    -------------

    The majority of this course will be spent in front of a computer writing code with the Python language.
    Most exercises in this course involve real world examples and data. For each exercise, you may be asked to
    submit the Python codes you have written, output figures and answers to related questions.

    .. admonition:: Interactive contents

        Each lesson in this course can be turned into an interactive programming session in the browser.
        You can find buttons for activating the python environment using `Binder <https://mybinder.readthedocs.io/en/latest/>`__ at the top of each programming lesson.


Program
-------

The planned schedule 6.7.2023:

- **08:00 - 9:30**: Intro lecture: The role of spatial data science in understanding sustainable mobility
- **11:30 - 13:00**: Tutorial: Using open source Python tools to analyze the levels of access by different travel modes

..
  .. figure:: ../img/Aalto_2023_programme.png

Contents
--------

.. toctree::
   :maxdepth: 1
   :caption: Course information

   course-info/introduction
   course-info/installing-miniconda
   course-info/literature
   course-info/License-terms
   course-info/attribution

.. toctree::
   :maxdepth: 1
   :caption: Contents

   lessons/L1/giscience-and-sustainable-mobility
   lessons/L1/git-basics
   lessons/L1/intro-to-python-geostack.ipynb
   lessons/L1/spatial_network_analysis.ipynb
   .. lessons/L1/exercise-1


Looking for earlier versions?
-----------------------------

This website is a living document that changes slightly each time I teach these materials.
However, all the earlier versions of the site are available from here:

- `Materials for workshop at Aalto in May 2023 <https://sumogis.readthedocs.io/en/2023-aalto-workshop/>`__
- `Materials for short course at Augsburg University in Sep 2022 <https://sumogis.readthedocs.io/en/2022-augsburg>`__