Sari la conținut

Română · beta. Traducerea a fost făcută automat și este încă în curs de revizuire. Citește pagina în engleză

perspectiva aiqbenchMachine learning

analiza aiqbench

This demo paper introduces Trajectools, an open-source plugin enabling no-code movement data analytics by integrating the MovingPandas library with QGIS. While it touches on human-computer interaction and database management, its core contribution lies in advancing accessible tools for processing trajectory data, a key application area within machine learning and spatial analysis.
Sursă care acoperăarXiv
Ce este aceastaLectura unui model asupra articolului și a acoperirii conexe, scrisă pentru aiqbench. Nu sunt cuvintele publicației.

Trajectools Demo: Towards No-Code Solutions for Movement Data Analytics

arXiv1 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2610.06858v1 Announce Type: cross Abstract: This demo paper presents the conceptual foundations and the first steps towards implementation of a novel no-code solution for movement data analytics based on the open-source Python library MovingPandas and the open-source geographic information system QGIS. The resulting Trajectools plugin is available open-source at https://github.com/movingpandas/qgis-processing-trajectory.

Abstract:This demo paper presents the conceptual foundations and the first steps towards implementation of a novel no-code solution for movement data analytics based on the open-source Python library MovingPandas and the open-source geographic information system QGIS. The resulting Trajectools plugin is available open-source at this https URL.

Databases (cs.DB); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)

arXiv:2610.06858 [cs.DB]

(or arXiv:2610.06858v1 [cs.DB] for this version)

https://doi.org/10.48550/arXiv.2610.06858 Focus to learn more arXiv-issued DOI via DataCite

https://doi.org/10.1109/MDM61037.2024.00048 Focus to learn more DOI(s) linking to related resources

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Text integral sub licența deschisă a publicației · 154 cuvinte

Subiecte conexe