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🔬 Advanced Statistical Analysis #4

@tkd708

Description

@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.

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