Skip to content
Home
About
Services
Contact
Blog
Main Menu
Home
About
Services
Contact
Blog
Forecasting Analysis
Cherry Blossom Forecasting
Analytical Man
/
November 22, 2025
Cherry Blossom Forecasting
Read More »
Table of Contents
×
🎯 The Challenge: Predicting Sakura Bloom Dates
🌱 Understanding the Sakura Bloom Cycle
The Four-Phase Annual Cycle
The Chilling Requirement Concept
📊 Data Acquisition and Preparation
Data Sources and Collection
Data Structure and Processing
Temperature Data Processing
🔬 Problem 1: Extended Yukawa-DTS Model
Theoretical Foundation of the DTS Model
Model 1-1: Basic DTS Implementation
Model 1-1 Results and Performance
Model 1-2: Temperature-Weighted DTS
Model 1-3: Adaptive Threshold DTS
DTS Models Comparative Analysis
🌡️ Problem 2: Extended Yoshimi-DTS Model
Theoretical Foundation of the Yoshimi Model
Model 2-1: Basic Yoshimi Implementation
Model 2-1 Performance
Model 2-2: Enhanced Yoshimi with Exponential Growth
Model 2-3: Yoshimi with Photoperiod Adjustment
Yoshimi Models Comparative Analysis
💡 Problem 3: Novel Hybrid Multi-Factor Model
Rationale for a Hybrid Approach
Multi-Factor Feature Engineering
Machine Learning Model Selection and Training
Feature Importance Analysis
Hybrid Model Predictions and Performance
📈 Problem 4: Comprehensive Trend Analysis
Analysis 4.1: Hibernation End Date Trends Over Time
Analysis 4.2: Growth Period Duration Trends
Analysis 4.3: Temperature Trends
Analysis 4.4: Sea-Level Pressure Trends
Synthesis: Climate Change Impact on Sakura Phenology
Model Performance Summary Across All Approaches
🎓 Conclusions and Key Learnings
Technical and Methodological Learnings
Climate Change Insights and Environmental Impact
Model Development Insights
Challenges Encountered and Overcome
Future Directions and Potential Improvements
Personal Reflections
Acknowledgments and Data Sources
Closing Thoughts
←
Index
Scroll to Top
