analyze_region_heat
CommunityCompute regional activity heat from trajectory records.
Authorbettercallfan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill addresses the need to analyze and visualize the activity heat of regions based on trajectory records, providing insights into regional activity patterns and user distribution.
Core Features & Use Cases
- Compute Regional Heat: Aggregate point-level or evidence-level trajectory records into regional heat indicators.
- Time and Space Filtering: Apply optional time and space filtering to the data.
- Geohash Aggregation: Utilize geohashing to aggregate data by region.
- Activity Count and Unique User Count: Provide activity counts and unique user counts for each region.
- Top-N Statistics: Optional category Top-N statistics for the most active regions.
- Use Case: For urban planning and analysis, this skill can help understand the density of activity in different areas, which is crucial for infrastructure development and resource allocation.
Quick Start
Use the analyze_region_heat skill with the command:
cd /mnt/skills/custom/analyze_region_heat
python3 scripts/analyze_region_heat.py \
--input /path/to/cleaned_points.jsonl \
--output-dir /path/to/output \
--geohash-precision 6 \
--time-bucket hour
Dependency Matrix
Required Modules
None requiredComponents
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: analyze_region_heat Download link: https://github.com/bettercallfan/deerflow/archive/main.zip#analyze-region-heat Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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