An exploratory data analysis protocol for identifying problems in continuous movement data
Author:
Affiliation:
1. Center for Energy, AIT Austrian Institute of Technology, Vienna, Austria
2. Department of Geoinformatics Z_GIS, University of Salzburg, Salzburg, Austria
Funder
Österreichische Forschungsförderungsgesellschaft
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Signal Processing
Link
https://www.tandfonline.com/doi/pdf/10.1080/17489725.2021.1900612
Reference21 articles.
1. Visual Analytics of Movement
2. Understanding movement data quality
3. Visual exploration of movement and event data with interactive time masks
4. Dask Development Team. 2020. “Dask: Library for Dynamic Task Scheduling.” https://dask.org
5. Analysis and visualisation of movement: an interdisciplinary review
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