detect_trajectory_cooccurrence
CommunityDetect co-occurrence of multiple trajectories within the same spatial and temporal window.
Authorbettercallfan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of detecting the presence of multiple trajectories at the same location during overlapping time intervals.
Core Features & Use Cases
- Trajectory Co-occurrence Detection: Identify when user pairs or groups are present at the same geohash cell with overlapping dwell time.
- Use Case: Ideal for applications requiring companion trajectory detection, contact tracing, crowd gathering analysis, or understanding group dynamics in shared spaces.
- Examples: Finding out which pairs of individuals in a dataset have crossed paths during a specified time window.
Quick Start
Detect co-occurrence of multiple trajectories from the dataset 'data.jsonl' by running:
python3 scripts/detect_trajectory_cooccurrence.py --input /path/to/data.jsonl --output-dir /path/to/output
Dependency Matrix
Required Modules
geohashjson
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: detect_trajectory_cooccurrence Download link: https://github.com/bettercallfan/deerflow/archive/main.zip#detect-trajectory-cooccurrence Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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