FERRO Dashboard

Dashboard for the FERRO project, providing an interactive overview of existing lakes and associated catchments, along with a classification of eutrophication risk based on lake sensitivity and external nutrient loading.

The dashboard is built using Dash and Dash Leaflet and is intended as an exploratory and decision-support tool for assessing eutrophication vulnerability at the lake–catchment scale.

Requirements

A Python environment with the following packages:

• dash
• dash-leaflet
• pandas
• geopandas
• shapely
• plotly
• pyproj

Clone the repository and create the environment using the provided environment.yml file:

git clone <repo-url>
cd ferro-dashboard
conda env create -f environment.yml
conda activate ferro-dashboard

Usage

The dashboard is launched via the main Python script run.py:

python run.py

Running this file will start a local Dash server and open the application in your default web browser.

Folder Structure

• app/
  Contains the core Dash application structure and UI logic.

  • assets/
    Static assets such as CSS stylesheets, icons, and other static resources automatically loaded by Dash.
  • callbacks/
    Callback functions defining interactive behavior between UI components (e.g. map interaction, dropdown selections, and dynamic updates).
  • components/
    Reusable Dash components used to build the layout (maps, plots, controls, legends, etc.).
  • services/
    Helper functions and services for data access, preprocessing, and shared logic used across callbacks and components.
  • app.py
    Dash application initialization, including app configuration and server setup.
  • layout.py
    Definition of the overall dashboard layout and page structure.

• data/
  Contains the local data, but also hosted on huggingface.

Features

• Interactive visualizations of lakes and catchments
• Classifcation of lake sensitivtiy and external load

Data Sources

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