environmental-time-series
CommunityDetect trends and breakpoints in time series.
Authorbaratadiego
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Detects trends, breakpoints, and recovery trajectories in environmental time series data from remote sensing or field measurements. This skill helps ecologists and data scientists quickly identify directional changes, regime shifts, and post-disturbance recovery patterns across raster or site-level time series.
Core Features & Use Cases
- Trend detection with Mann-Kendall and Sen's slope per time unit (per pixel or per site)
- Seasonal decomposition and anomaly detection to highlight unusual behavior
- Breakpoint identification (BFAST/structural change) and recovery trajectory estimation for disturbance events
Quick Start
Provide a time-series CSV and run trend_analysis.py to generate trend_results.csv, anomaly_series.csv, and decomposition_plot.png
Dependency Matrix
Required Modules
pandasnumpypymannkendallmatplotlibscipy
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: environmental-time-series Download link: https://github.com/baratadiego/ecological-agent-skills/archive/main.zip#environmental-time-series Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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