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MAT-view: Visualization Tools for Multiple Aspect Trajectory Data Mining

Project description

MAT-view: Visualization Tools for Multiple Aspect Trajectory Data Mining [MAT-Tools Framework]


[Publication] [citation.bib] [GitHub] [PyPi]

The present application offers a tool, to support the user in the classification task of multiple aspect trajectories, specifically for visualizing the trajectories and movelets, the parts of the trajectory that better discriminate a class. It integrates into a unique platform the fragmented approaches available for multiple aspects trajectories and in general for multidimensional sequence classification into a unique web-based and python library system.

Created on Apr, 2024 Copyright (C) 2024, License GPL Version 3 or superior (see LICENSE file)

Installation

Install directly from PyPi repository, or, download from github. (python >= 3.7 required)

    pip install mat-view

Usage

This package enables a environment script to run the web application, just run:

    MAT.py

By default Dash will run on http://127.0.0.1:8050/

Citing

If you use mat-view please cite the following paper:

Tarlis Tortelli Portela; Jonata Tyska Carvalho; Vania Bogorny. HiPerMovelets: high-performance movelet extraction for trajectory classification, International Journal of Geographical Information Science, 2022. DOI: 10.1080/13658816.2021.2018593.

Bibtex:

@article{Portela2022,
    author = {Tarlis Tortelli Portela and Jonata Tyska Carvalho and Vania Bogorny},
    title = {HiPerMovelets: high-performance movelet extraction for trajectory classification},
    journal = {International Journal of Geographical Information Science},
    volume = {0},
    number = {0},
    pages = {1-25},
    year  = {2022},
    publisher = {Taylor & Francis},
    doi = {10.1080/13658816.2021.2018593},
    URL = {https://doi.org/10.1080/13658816.2021.2018593}
}

Collaborate with us

Any contribution is welcome. This is an active project and if you would like to include your algorithm in mat-view, feel free to fork the project, open an issue and contact us.

Feel free to contribute in any form, such as scientific publications referencing mat-view, teaching material and workshop videos.

Related packages

This package is part of MAT-Tools Framework for Multiple Aspect Trajectory Data Mining, check the guide project:

  • mat-tools: Reference guide for MAT-Tools Framework repositories

And others:

Change Log

This is a package under construction, see CHANGELOG.md

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