Metadata-Version: 2.1
Name: mat-view
Version: 0.1b0
Summary: MAT-view: Visualization Tools for Multiple Aspect Trajectory Data Mining
Home-page: https://github.com/ttportela/movelets
Author: Tarlis Tortelli Portela
Author-email: Tarlis Tortelli Portela <tarlis@tarlis.com.br>
Maintainer-email: Tarlis Tortelli Portela <tarlis@tarlis.com.br>
License: GPL Version 3 or superior (see LICENSE file)
Project-URL: Homepage, https://github.com/mat-analysis/mat-view
Project-URL: Repository, https://github.com/mat-analysis/mat-view
Project-URL: Documentation, https://github.com/mat-analysis/mat-view/blob/main/README.md
Project-URL: Download, https://pypi.org/project/mat-view/#files
Project-URL: Bug Tracker, https://github.com/mat-analysis/mat-view/issues
Keywords: data-science,machine-learning,data-mining,trajectory,multiple-trajectory,trajectory-classification,movelet,movelet-visualization
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Operating System :: OS Independent
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.10
Requires-Python: <3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: glob2 ==0.7
Requires-Dist: numpy
Requires-Dist: pandas ==1.3.4
Requires-Dist: mat-data
Requires-Dist: mat-model
Provides-Extra: all_extras
Requires-Dist: geohash ; extra == 'all_extras'
Provides-Extra: binder
Requires-Dist: jupyter ; extra == 'binder'
Provides-Extra: dev
Requires-Dist: pre-commit ; extra == 'dev'
Requires-Dist: pytest ; extra == 'dev'
Requires-Dist: pytest-cov ; extra == 'dev'
Requires-Dist: pytest-xdist ; extra == 'dev'
Requires-Dist: wheel ; extra == 'dev'
Provides-Extra: dl
Provides-Extra: docs
Requires-Dist: jupyter ; extra == 'docs'
Requires-Dist: numpydoc ; extra == 'docs'

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

\[[Publication](#)\] \[[citation.bib](citation.bib)\] \[[GitHub](https://github.com/mat-analysis/mat-view)\] \[[PyPi](https://pypi.org/project/mat-view/)\]


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)

```bash
    pip install mat-view
```

### Usage

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

```bash
    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](citation.bib):

```bash
@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](https://github.com/mat-analysis/mat-tools)**: Reference guide for MAT-Tools Framework repositories

And others:


### Change Log

This is a package under construction, see [CHANGELOG.md](./CHANGELOG.md)
