MoReVis : A Visual Summary for Spatiotemporal Moving Regions

MoReVis is a visualization technique that summarizes spatiotemporal data that presents a region in space that evolves through time. In this repository is the code that implements the technique and the implementation of visualizations tools that make use of MoReVis.

Prerequisites

• We developed MoReVis with Anaconda using Python. On a terminal with conda, create an env with the packages used in MoReVis with the enviroment.yml file.

conda env create -f enviroment.yml

• Then activate the environment to run Notebooks and scripts:

conda activate morevis

• MoReVis also made use of a solver; it can be GUROBI or MOSEK. You need to ask for a free academic license and install it in your conda env.

conda install -c gurobi gurobi

or

conda install -c mosek mosek

• And then follow the steps on the site GUROBI/MOSEK to activate your license.

• The preprocessed data is available in data/processed, and the hurricane is available at data/hurdat; however, if you want to apply the preprocessing steps, download the WILDTRACK data in this link (download the annotated dataset) and extract it in the folder data/wildtrack.

Using MoReVis

• Before running notebooks, create the folders notebooks/metrics-results and notebooks/plots.
• For preprocessing the datasets, run the notebooks wildtrack.ipynb, hurdat.ipynb, and synthetic_data.ipynb.
• For running evaluations, run the notebooks evaluate_optimization.ipynb, evaluate_projections.ipynb, motionlines_comparison.ipynb.
• You can run the visualization interface. It is necessary first to download the WILDTRACK dataset and run the preprocessing. After, inside the file app/ run the commands:

set FLASK_APP = application.py # windows

export FLASK_APP = application.py # ubuntu

python -m flask run

• And open your browser in the URL http://127.0.0.1:5000/index.

LICENSE

Distributed under the GNU v3 License. See LICENSE for more information.