This tool is designed to perform spatial proximity analysis on Excel spreadsheets. It simplifies geographic data analysis by allowing users to calculate distances and identify relationships between spatial entities directly from their Excel data.
- Spatial Proximity Calculation: Quickly calculate distances between points in your dataset.
- Geographic Insights: Generate insights based on spatial relationships in your data.
- Excel Integration: Seamlessly works with Excel files for input and output.
Access it here or read on to run locally.
- Python 3.x
- pip (Python package installer)
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Clone the Repository:
git clone https://github.com/danmaps/spatial-Proximity-Excel.git cd spatial-Proximity-Excel -
Set Up a Virtual Environment:
python -m venv venv venv\Scripts\activate
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Install Dependencies:
pip install -r requirements.txt
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Run the Application:
streamlit run app.py
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Clone the Repository:
git clone https://github.com/danmaps/spatial-Proximity-Excel.git cd spatial-Proximity-Excel -
Set Up a Virtual Environment:
python3 -m venv venv source venv/bin/activate -
Install Dependencies:
pip install -r requirements.txt
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Run the Application:
streamlit run app.py
To deactivate the virtual environment, use:
- Windows:
venv\Scripts\deactivate - Linux/macOS:
deactivate
Follow the prompts in the Streamlit app to upload your file and perform spatial analysis.
- Common Issues:
- Ensure that your Excel file is correctly formatted.
- Verify that all required dependencies are installed.
Contributions are welcome! Please follow these steps to contribute:
- Fork the repository.
- Create a new branch (
git checkout -b feature-branch). - Commit your changes (
git commit -m 'Add new feature'). - Push to the branch (
git push origin feature-branch). - Open a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.