This app was initially developed using the Spiral model, refined iteratively with Scrum, and finalized using the Waterfall model. It uses Streamlit and GeoPandas to visualize user-provided GeoJSON files as well as Shapefiles.

Features

• Visualize spatial data
• Export interactive maps as HTML files or as PNG images of individual layers

Supported Formats

• GeoJSON

Visualization Types

1. Geometrical data

• Display points, lines, or polygons

2. Numeric data

• Choropleth maps with either discrete (classified) or continuous color scales
• For classified data: selectable classification scheme (all mapclassify schemes supported) and adjustable number of classes
• For continuous data: user-defined minimum and maximum values for the colorbar

3. . Categorical data

• Displays distinct values from a selected column
• User-selectable Matplotlib colormap
• Optional filtering to display only specific categories

4. Heatmap

• Visualize point density

How to use

• Clone this repo

  git clone https://github.com/svenklingel/spatial-visualization-app
  

• Install Python >= 3.13
• Create a virtual environment

  python -m venv venv
  

• Activate the virtual environment
  • On Windows:

    venv\Scripts\activate
    

  • On macOS/Linux:

    source venv/bin/activate
    

• Install dependencies:

  pip install -r requirements.txt
  

• Run the app using the following command:

  streamlit run visualization_app.py
  

• Open your browser and navigate to the local URL shown in the terminal to interact with the app.