Code Version 3

[runck014]

Strengths

• Comprehensive analytical approach to agricultural preservation impact assessment
• Good use of data.table for efficient handling of large datasets
• Effective statistical transformations (log transforms) for dealing with skewed data
• Well-structured exploratory and inferential analysis pipeline

Areas for Consideration

• Code modularity -- reusable components help in maintainability. Not a major concern for this specific analysis.
• Check formal assessment of modeling assumptions (normality, homoscedasticity) and report these (thought I might have missed this)
• Sensitivity analysis? How robust are the findings?
• Details on model strategy and rationale. To what extent can we consider this "causal"?