Czech University of Life Sciences Prague · March 2026

Data Cleaning and Statistical Analysis Strategy

Influence of Microclimate and Physiological Condition of Norway Spruce on Mycorrhizal Development Kostelec nad Černými Lesy, Czech Republic

Table of Contents

1 Data Inventory and Quality Assessment
- 1.1Dataset Overview
- 1.2Temporal Mismatch Analysis
- 1.3Data Availability Matrix
- 1.4Critical Data Gaps
2 Data Cleaning Strategy
- 2.1Mycorrhizal Data Cleaning
- 2.2Root Biomass Data Cleaning
- 2.3 High-Frequency Sensor Data Cleaning View
- 2.4 Creating Derived Variables for Integration View
3 Visualization Strategy (Exploratory Phase) View
- 3.1Within-Dataset Visualizations
- 3.2Cross-Dataset Visualizations
- 3.3Recommended R Packages for Visualization
4 Statistical Analysis Strategy
- 4.1Phase 1: Exploratory Multivariate Analysis
- 4.2Phase 2: Generalised Linear Models (GLM) and LMM
- 4.3Phase 3: Structural Equation Modeling (SEM)
- 4.4Phase 4: Fungal Community Analysis
5 Practical Recommendations and Workflow
- 5.1Recommended Timeline
- 5.2Key Analytical Decisions
6 Fact-Checking and Verification Recommendations
- 6.1Key References by Method
- 6.2Comparable Published Studies
- 6.3Consultation Recommendations
- 6.4Assumption Verification Checklist
7 Summary of R Packages Required