PathsViewer: An Interface to Explore Spatio-Temporal Datasets

Abstract

Spatial-temporal data represents the occupation of objects in space at a given moment in time. An interface for visualizing this type of data is essential in movement patterns analysis and object monitoring. However, despite the great interest in research on this type of data, there are few tools for visualizing object trajectories. In this sense, this project proposes PathsViewer, a tool for visualizing spatial-temporal data. To evaluate the proposed tool, datasets from different sources were used, such as georeferenced 5G traces, and vehicle trajectories.

Context

This work originated as the Final Undergraduate Project of an undergraduate student. I am currently involved in advising the ongoing development of this tool. Together with some undergraduate students, we are continuously enhancing and refining PathsViewer to ensure its effectiveness and usability in the field of spatial-temporal data analysis.

Publications

• PathsViewer: An Interface to Explore Spatio-Temporal Datasets (demo paper), SBRC 2023. DOI - 10.5753/sbrc_estendido.2023.758 (opens in a new tab), pdf (opens in a new tab)

Funding

• Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), grant 2021/00199-8 (CPE SMARTNESS)
• Ericsson Telecomunicações S.A., code UNI.70
• Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)- Finance Code 001