Interactive Python shapeplot, to visualize the impact of increased land usage.

• A map of the continential USA, divided into states.

Overview

This project demonstrates how to create a custom TkInter GUI application for plotting geographical data using GeoPandas and Matplotlib. The application allows users to input a value representing the area in hectares and visualize the corresponding geographical regions on the map.

Intented usage:

The application is intented for free-use visualization of increased land usage in agricultural production. It was originally     developed to display the area impact of increased crop production to satisfy demand for bio-based fuel.  

Features

• Interactive GUI built with TkInter.
• Plotting functionality using GeoPandas and Matplotlib.
• Supports customization of appearance and plot parameters.
• Ability to reset the plot to its initial state.
• converstion between [m2, km2, ha]

Requirements

• Python 3.x
• CustomTkinter
• GeoPandas
• Matplotlib

Installation

1. Clone this repository to your local machine
2. Navicate to directory
3. Install requirements (pip install -r requirements.txt).
4. Execute the main.py file
5. Interactive with the plot tool in the Custom TKInter window (fullscreen recommended)

Functionality

#Call plot: The slider and entry widget operates with biderectional functionality. Choose either to selected desired area, click: Update plot.

#Reset plot: Use the reset botton to reset values and call and empty plot.

#Apply the build-in metric conversion: Use the drop-down menu besides the entry widget, to choose unit [m2,km2,ha], enter number in the widget and HIT ENTER, the engine with convert it to hectares, and update the slider value. To call the new plot; hit Update.

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or create a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.