trackintel-tutorial

Tutorial materials for trackintel library

SIGSPATIAL 23 ReproTrack workshop

We organized the 1st ACM SIGSPATIAL International Workshop on Reproducibility in tracking data analysis and mobility research, featuring a keynote talk by Prof. Edzer Pebesma a tutorial and a hands-on session.

• Keynote by Edzer Pebesma: Slides: here - Abstract: In this talk I will discuss of reproducibility in general, why it matters for good science, the differences to replicability, and the challenges aspects to reproducing scientific computations. I will also discuss the practice of how we conduct science, how and why we write, submit and review research papers, how and why we write, share and publish research software, and the connection between these two. Although not an expert in the area of tracking data analysis, I will try to shed some light on particular challenges for reproducibility of tracking data analysis, and try to formulate some recommendations.
• Introduction slides
• Tutorial how to use the Trackintel library
• Hands-on session with several tasks in the sigspatial23 folder

Installing the dependencies

• Clone the trackintel-tutorial repository into a local folder

    cd your-desired-folder
    git clone https://github.com/mie-lab/trackintel-tutorial.git
    cd trackintel-tutorial

• Install the reprotrack environment from the provided environment.yml file (with conda)

    conda env create -f sigspatial23/environment.yml
    conda activate reprotrack

• Test the environment configuration

    python -c "import trackintel; print(trackintel.__version__)"

Geolife sample data

• The Data/Geolife/Data folder contains a subset of selected 20 users from the original Geolife GPS tracking dataset.
• In the file paths.json, we have defined the data directories by writing:

{
    "data_dir": "./Data/Geolife/Data"
}