🔬 Advanced Statistical Analysis

[tkd708]

Advanced Statistical Analysis Features

Enhance the statistical capabilities of the GHG Monitor application.

Statistical Features to Add:

• ANOVA Analysis for treatment comparisons
• Regression Models beyond linear regression
• Outlier Detection with statistical tests
• Confidence Intervals for flux estimates
• Time Series Analysis with trend detection
• Correlation Analysis between environmental factors

Quality Control Enhancements:

• Automated QC Flags based on statistical criteria
• Drift Detection in chamber measurements
• Calibration Tracking and correction factors
• Uncertainty Propagation through calculations

Visualization Improvements:

• Box Plots for treatment comparisons
• Regression Diagnostics plots
• Control Charts for quality monitoring
• Heatmaps for spatial analysis

Technical Implementation:

• Statistical calculation engine
• R/Python integration options
• Caching for expensive calculations
• Export statistical results

This will provide researchers with publication-ready statistical analysis capabilities.