https://github.com/alphacrypto246/geospatial-school-mapping
The Geospatial School Mapping project maps and analyzes school locations using geographic data. It provides insights into the distribution and accessibility of schools, helping identify areas with limited access to education and supporting data-driven decision-making for better school placement.
https://github.com/alphacrypto246/geospatial-school-mapping
folium-streamlit geojson-data geopandas geospatial pandas streamlit
Last synced: 3 months ago
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The Geospatial School Mapping project maps and analyzes school locations using geographic data. It provides insights into the distribution and accessibility of schools, helping identify areas with limited access to education and supporting data-driven decision-making for better school placement.
- Host: GitHub
- URL: https://github.com/alphacrypto246/geospatial-school-mapping
- Owner: alphacrypto246
- Created: 2024-12-02T16:50:57.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-12-26T04:35:55.000Z (6 months ago)
- Last Synced: 2025-04-05T04:15:55.680Z (3 months ago)
- Topics: folium-streamlit, geojson-data, geopandas, geospatial, pandas, streamlit
- Language: Python
- Homepage:
- Size: 10.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Geospatial School Mapping
The Geospatial School Mapping project uses geographic data to map and analyze the locations of schools in a specific region. By leveraging geospatial analysis techniques, the project aims to provide insights into the distribution and accessibility of schools, helping policymakers and the community make informed decisions.
## Features
- **School Location Mapping**: Plots school locations on a map based on geographic coordinates.
- **Data Analysis**: Analyzes the distribution of schools across regions.
- **Accessibility Insights**: Provides insights into areas with limited access to schools.
- **Visualization**: Interactive maps to visualize school locations and their proximity to other regions.
## Technologies Used
- **Python**: For data processing and analysis.
- **Geospatial Libraries**: Such as `GeoPandas`, `Folium`, and `Shapely` for map visualization and spatial analysis.
- **Pandas**: For data manipulation and analysis.
## How to Run
1. Clone the repository:
```bash
git clone https://github.com/alphacrypto246/Geospatial-School-Mapping.git
```
2. Install the required dependencies:
```bash
pip install -r requirements.txt
```
3. Run the script:
```bash
python geospatial_school_mapping.py
```
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.