Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 9, 2025Open Access

A visual analytics tool for taxonomy-based trajectory data exploration

View Full Paper
Ask AI
Bookmark
Share

Authors

ICIvan A. Hanono CozzettiAAAhmed Mahmoud Abdou

Discussion

Loading...

Member takes

Overview

This tool demonstrates effective spatio-temporal data analysis using machine learning and visualization techniques.

Key Points

  • The analysis identifies movement patterns in spatio-temporal data, highlighting complexities in trajectory data.
  • Statistical indicators revealed distinct behaviors in Arctic fox trajectories, aiding in categorization by acceleration and curvature.
  • Two case studies validate the tool: one on Arctic foxes revealing specific behavior patterns, and another on tropical cyclones assessing trajectory impacts.
  • The proposed method illustrates the potential for detailed analysis of complex spatio-temporal data across various applications.

Cite This Study

Cozzetti et al. (2025) studied this question.

synapsesocial.com/papers/68e7f0af2d7e30942762c822https://doi.org/10.48550/arxiv.2507.22899
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Dynamic Topic Analysis and Visual Analytics for Trajectory Data: A Spatial Embedding Approach2025
  2. 2Trajectory Classification through Topological Data Analysis Perspectives2024
  3. 3Spatiotemporal analysis and visualization system design for moving objects based on trajectory data mining2026
  4. 4A novel multilevel taxonomical approach for describing high-dimensional unlabeled movement data2025 · 2 citations
  5. 5Human-in-the-Loop: Visual Analytics for Building Models Recognizing Behavioral Patterns in Time Series2024 · 12 citations