README.md

🗾 Spatial Analysis with Python

Exploring Japanese Geospatial Analytics | 日本の空間解析

Overview 概要

This repository provides a comprehensive introduction to spatial analysis using Python, focusing on Japanese geographic contexts. Perfect for data scientists, urban planners, and GIS enthusiasts interested in advanced spatial analytics.

📚 Notebooks

Three interconnected notebooks demonstrating progressive spatial analysis techniques:

1. Getting Started with GeoDataFrames: Kyoto Temples

   • Basic spatial operations
   • Temple distribution analysis
   • Cultural mapping techniques
   • 

2. Spatial Operations: Tokyo Transit

   • Network analysis
   • Transit accessibility
   • Urban connectivity patterns
   • 

3. Advanced Analysis: Metropolitan Demographics

   • Population density modeling
   • Urban clustering
   • Predictive analytics
   • 

🛠️ Technologies

• Core Libraries: GeoPandas, OSMnx, Folium
• Visualization: Matplotlib, Seaborn
• Analysis: Scikit-learn, Scipy
• Data Sources: OpenStreetMap, Japanese Statistics Bureau

🚀 Getting Started

# Clone repository
git clone https://github.com/yourusername/spatial-analysis

# Install dependencies
pip install -r requirements.txt

# Launch Jupyter
jupyter notebook

🗺️ #30DayMapChallenge

Join me in the #30DayMapChallenge for November 2024! Exploring different mapping themes daily: 30 Day Map Challenge Repository

Let's Connect! 一緒に学びましょう 🌐

よろしくお願いします！Let's connect and grow together in the world of GIS and Data Science!

さようなら - Happy Mapping! 🗺️