NOTE: This entire description was written by ChatGPT Code written by @oyoops

GeoFlow seamlessly bridges the gap between vast shapefile datasets and PostgreSQL databases, empowering users with the ability to visualize, transform, and manage geospatial data with unparalleled ease.

• Chunked Processing: Efficiently handle colossal shapefiles without memory hiccups.
• GeoJSON Streaming: Directly stream your geospatial data to the universal GeoJSON format.
• Interactive Mapping: Visualize your datasets on-the-fly with elegant, interactive maps.
• Database Flexibility: Designed for PostgreSQL with PostGIS, ensuring robust geospatial capabilities.

1. Prerequisites
2. Installation & Setup
3. Dive In: Usage
4. Behind The Scenes: Module Insights
5. Join the Flow: Contributing
6. License & Credits

• Python Landscape: Python 3.x environment.
• Python Libraries: fiona, geopandas, psycopg2, shapely, folium, itertools, psutil.
• Database Realm: PostgreSQL equipped with the PostGIS extension.

# Clone the heart of GeoFlow
git clone <repository_url>

# Step into the world of GeoFlow
cd GeoFlow

# Prepare your toolkit
pip install -r requirements.txt

1. Awaken GeoFlow:

python main.py

2. Let GeoFlow guide you. Input the desired county name and watch the magic unfold.

1. main.py:

   • The command center. Orchestrates the symphony of reading, processing, and storing geospatial wonder.

2. db_operations.py:

   • The database maestro. Connect, create, curate.

3. shapefile_operations.py:

   • The shapefile sage. Reads, processes, and delivers geospatial intelligence.

4. geojson_operations.py:

   • The GeoJSON guru. Streams, visualizes, and celebrates geospatial data.

5. utilities.py:

   • The unsung hero. Monitors, logs, and supports.

Every droplet makes an ocean. Your contributions can enhance the flow of GeoFlow. Dive in with a pull request or ripple an issue to discuss improvements.

Sculpted with ❤️ by @oyoops. Description by ChatGPT. Licensed under MIT License.