All things data science/ analysis on the data from Hitchmap.
This paper introduces the dataset of hitchhiking rides that we are dealing with here.
analysis ... general analysis of the data and code for scientific papers about hitchhiking
cleaning/ ... ideas how to tidy up the data
import_data/ ... taking significant amounts of self-logged hitchhiking experiences and bringing it into the hitchmap format to be imported there in bulk & fetching hitchhiking data from other sources and integrating it with the main dataset of hitchhiking rides.
routing ... experiments for route finding when hitchhiking
visualization/ ... hitchhiking maps - using the data to build models that can predict hitchhiking waiting time and to draw maps
install pyvenv from requirements.txt is suffcient at the start
Get started to export hitchhiking data by running getting_started.ipynb.
Every sub-directory might define its own specific environement. In general either a conda env from environment.yml or a pyvenv from requirements.txt should get you started.
For linting and formatting we suggest ruff using ruff.toml.