.. figure:: img/event_banner.png *Workshop*: **Open tools for large-scale spatial accessibility analysis in Python and R** deals with the use open-source tools in Python (r5py) and R (r5r) to study spatial accessibility in urban environments. After participating in the event: - you understand the basic workflow and data requirements for analysing spatial accessibility - you can use open-source libraries in Python (or R) to calculate travel time matrices by different travel modes (walking, cycling, transit, car) - you understand the possibilities and limitations of the demonstrated tools Course format ------------- The majority of this event will be spent in front of a computer writing code with the Python (or R) language. Most exercises in this course involve real world examples and data. .. admonition:: Interactive contents Each tutorial 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 `__ at the top of each programming lesson. Program ------- The planned schedule for the event: .. figure:: img/schedule.png Contents -------- .. toctree:: :maxdepth: 1 :caption: Basic information :titlesonly: :hidden: course-info/introduction course-info/installing-miniconda course-info/License-terms course-info/attribution .. course-info/literature .. toctree:: :maxdepth: 1 :caption: Presentations lessons/introduction lessons/accessibility-modelling lessons/r5r_advanced_features .. toctree:: :maxdepth: 1 :caption: Demo notebooks/demo/r5py_demo.ipynb notebooks/demo/r5r_demo.ipynb .. toctree:: :maxdepth: 1 :caption: Tutorials notebooks/r5py_intro.ipynb notebooks/r5r_intro.ipynb notebooks/spatial_network_analysis.ipynb .. toctree:: :maxdepth: 2 :caption: Exercises exercises/exercise-1 .. toctree:: :maxdepth: 1 :caption: Extra materials :titlesonly: :hidden: notebooks/r5r_advanced/index notebooks/extra_materials/index