08-24, 14:45–15:15 (Europe/Rome), Room Limonaia
This talk presents the current state of MovingPandas and related movement data analysis tools. MovingPandas has been growing steadily since its first publication in 2018 (with more than 24 contributors to date). Building on GeoPandas and GeoViews, MovingPandas provides movement data analysis tools that support efficient exploratory data analysis through interactive (visual) analysis. Early functionality and demos were focused on dealing with GPS tracking data (including vehicle and animal tracks). This talk presents recent developments towards supporting other track data, including examples from sports tracking (movement in real space, extracted from video footage) and eye or mouse tracking (movement in virtual space). Among many other details, this includes support for local coordinate systems, integration of context beyond geographic base maps, as well as trajectory generalization, segmentation, and distance measures. Finally, we revisit the origins of MovingPandas: the QGIS plugin Trajectools; and review the steps necessary to bring MovingPandas' trajectory analysis tools to QGIS.
Anita Graser is a researcher, open source GIS developer, and author. She works at the Austrian Institute of Technology in Vienna, teaches Python for QGIS at UNIGIS Salzburg and serves on the QGIS project steering committee. She has published several books about QGIS, including “Learning QGIS” and “QGIS Map Design”. In 2020, she was awarded the OSGeo Sol Katz award. Her latest project is MovingPandas, a Python library for analyzing movement data. You can find out more about her work on anitagraser.com and follow her on Twitter @underdarkGIS.