🗺️ #30DayMapChallenge 2024 | GIS & Python Adventures

ようこそ (Welcome) to my #30DayMapChallenge repository! Join me on this exciting journey through November 2024 as we explore the world of geospatial visualization using Python. 🌏✨

🎯 Challenge Overview

One map. Every day. November 2024. Following the official #30DayMapChallenge themes, this repository showcases creative approaches to spatial data visualization using Python, GeoPandas, Folium, and more.

🗓️ Daily Challenges & Solutions

Currently Available Notebooks:

1. Points (Day 1) - Japanese Culture Finder 🍜

   • Interactive tool to discover Japanese cultural spots in your city
   • Uses Google Maps API to locate restaurants, shops, cultural centers
   • Customizable filters for different categories (food, art, entertainment)
   • Day 1 (Points)

2. Lines (Day 2) - Mario Kart-Style Tokyo Route 🏎️

   • Animated route inspired by Mario Kart through iconic Tokyo landmarks
   • Utilizes Google Maps API to create an interactive route map
   • Highlights famous spots like Tokyo Skytree, Akihabara, and Asakusa
   • Day 2 (Lines)

3. Polygons (Day 3) - Jujutsu Kaisen: Shibuya Incident Map 呪術廻戦 🏢

   • Interactive visualization of the Shibuya Incident battleground
   • Uses OpenStreetMap data to map real Shibuya buildings
   • Features battle locations and key events from the anime/manga
   • Perfect for learning polygon mapping while exploring the cursed territories
   • Day 3 (Polygons)

4. H3 Hexagons (Day 4) - Tokyo's Sakura Density Map 桜マッピング 🌸

   • Interactive visualization of cherry blossom density using Uber's H3 system
   • Combines Google Places API data with hexagonal spatial indexing
   • Features real-time density analysis of sakura locations
   • Perfect for learning H3 grid systems while exploring Tokyo's blooming landscapes
   • Day 4 (H3 Hexagons)

5. A Journey (Day 5) - Linkin Park's From Zero World Tour 2024-2025 🎸

   • Interactive visualization of Linkin Park's new world tour routes and venues
   • Features animated paths connecting tour locations globally
   • Combines band history with modern mapping techniques
   • Special tribute elements honoring Chester Bennington's legacy
   • Integration of tour dates, venues, and band milestones
   • Day 5 (A Journey)

6. Raster (Day 6) - Exploring Mount Fuji's Elevation 🗻

   • Digital Elevation Model (DEM) analysis of Japan's iconic Mount Fuji
   • 3D visualization combining USGS elevation data with satellite imagery
   • Integration of cloud-free satellite data (<5% coverage) via STAC
   • Custom height-based color gradients for terrain visualization
   • Real-world example of persistence in data processing challenges
   • Day 6 (Raster)

7. Vintage Style (Day 7) - Retro Computing Cartography 🖥️

   • World map visualization inspired by 1960-70s computer displays
   • Implementation of green phosphor CRT monitor aesthetic
   • Natural Earth data rendered with custom ASCII-style effects
   • Inclusion of vintage computer elements like scan lines and screen glow
   • Special focus on Tokyo's coordinates with retro computing display format
   • Day 7 (Vintage)

8. Humanitarian Data Exchange (Day 8) - Noto Earthquake Analysis 🌍

   • Interactive visualization of the 2024 Noto Peninsula Earthquake impact
   • Integration of Google Building Footprints data for infrastructure analysis
   • Custom dashboard implementation combining Folium map with real-time metrics
   • Heat map visualization of earthquake intensity zones
   • Building density analysis in affected areas
   • Day 8 (HDX)

9. AI Only (Day 9) - AI-Powered Map Generation Studio 🤖

   • Custom notebook for generating map-focused AI prompts without API dependencies
   • Integration with Hugging Face's local models for prompt engineering
   • Interactive Gradio interface for map style customization
   • Specialized templates for fantasy, vintage, and modern cartographic styles
   • Generated example using Midjourney for artistic map interpretation
   • Day 9 (AI Only)

10. Unveiling the Frozen Continent (Day 11) - Mapping Antarctica's Research Stations 🇦🇶

• Understanding Antarctica's unique landscape and the Antarctic Treaty System
• Mapping the distribution of permanent and seasonal research stations across Antarctica
• Data preparation and processing using Python and Pandas
• Creating an interactive Folium map with marker clusters for research stations
• Highlighting the importance of the Nippon Foundation and GEBCO in mapping Antarctica
• Exploration of Antarctic wonders and safety considerations
• Day 11 (Unveiling the Frozen Continent)

11. Time & Space (Day 12) - Fukushima Disaster Timeline Analysis ⏳🗾

• Custom Google Earth Engine workflow for temporal analysis of Fukushima region (2010-2023)
• Time series visualization using satellite imagery pre and post-disaster
• Integration with Earth Engine's Python API for environmental change detection
• Interactive analysis of reconstruction efforts and recovery zones
• Respectful approach to historical documentation with bilingual annotations
• Day 12 (Time & Space)

12. A New Tool (Day 13) - Okinawa Climate Visualization 🌦️🌀

• Interactive map showcasing temperature gradients and wind dynamics in Okinawa
• First-time integration of real-time weather data from OpenWeatherMap API
• Folium-based visualization with heatmaps and custom wind arrow styling
• Highlighting Okinawa's unique subtropical climate and historical context
• Bilingual annotations to connect geography, culture, and weather
• Day 13 (A New Tool)

13. A World Map (Day 14) - Earth's Dynamic Dance: Tectonic Plates & Volcanic Activity 🌍🌋

    • Global visualization integrating GEBCO ocean bathymetry with tectonic and volcanic data
    • Dual-layer volcanic activity mapping from Smithsonian Institution (Holocene and Pleistocene)
    • Interactive Folium-based map showcasing Earth's "Ring of Fire" and plate boundaries
    • Temporal analysis spanning from recent to 2.58 million years ago
    • Comprehensive visualization of global tectonic dynamics and volcanic patterns
    • Day 14 (A World Map)

14. My Data (Day 15) - ARA Libertad: 2009 Training Voyage Journey ⛵🌎

    • Personal mapping of my Naval Academy training voyage aboard the ARA Libertad tall ship
    • Interactive visualization of the 2009 route with key port stops and maritime experiences
    • Integration of naval training aspects and cultural exchange points
    • Custom markers highlighting significant moments and achievements during the voyage
    • Comprehensive display of maritime navigation paths and training exercises
    • Day 15 (My Data)

Upcoming Themes:

15. My data
16. Choropleth
17. Collaborative map
18. 3D [... and more coming soon!]

🛠️ Tools & Technologies

• Python Libraries: GeoPandas, Folium, Matplotlib, Plotly
• APIs: Google Maps Platform, OpenStreetMap
• Data Sources: Location-based services, custom datasets
• Environment: Google Colab for easy accessibility

📚 Getting Started

1. Clone this repository
2. Open notebooks in Google Colab
3. Follow along with daily updates
4. Share your insights using #30DayMapChallenge

🤝 Let's Connect! 一緒に学びましょう 🌐

• Star this repository for daily updates
• Share your own versions and insights
• Join the discussion in any of my social networks

🌟 Future Updates

Stay tuned for daily notebook additions throughout November 2024! Each notebook will include:

• Detailed code explanations
• Interactive visualizations
• Easy-to-follow tutorials
• Customizable parameters for your local area

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Happy mapping! 🌸