clean_trajectory
CommunityStreamline raw trajectory data cleaning for accurate spatial analysis.
Authorbettercallfan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the cleaning of raw GPS, check-in, signaling, taxi, or user mobility trajectory files, ensuring accurate spatial data for further analysis.
Core Features & Use Cases
- Coordinate Validation: Validates GPS coordinates for accuracy.
- Timestamp Normalization: Ensures timestamps are correctly formatted.
- Duplicate Removal: Eliminates duplicate points from trajectory data.
- Speed Threshold Filtering: Filters out points with abnormal speed jumps.
- Geohash Encoding: Standardizes trajectory points for efficient spatial analysis.
- Use Case: When preparing raw trajectory data for spatial analysis, such as mapping, heat maps, or pattern detection.
Quick Start
Use the clean_trajectory skill with the command: cd /mnt/skills/custom/clean_trajectory && python3 scripts/clean_trajectory.py --input /path/to/raw.csv --output-dir /path/to/output
Dependency Matrix
Required Modules
python3numpypandas
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: clean_trajectory Download link: https://github.com/bettercallfan/deerflow/archive/main.zip#clean-trajectory Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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