🖥️ EcoLab

Desktop application for Species Distribution Modeling

An open-source platform that automates biodiversity data collection, environmental variable extraction, and species distribution modeling.

Part of the EcoToolBox ecosystem 🌿

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✨ Overview

EcoLab is an open-source desktop application designed to simplify Species Distribution Modeling (SDM).

Instead of manually collecting biodiversity records, environmental variables, and ecological interactions from multiple sources, EcoLab integrates the entire workflow into a single application.

The platform enables researchers to retrieve occurrence records, extract environmental variables, train machine learning models, and generate habitat suitability maps with minimal manual effort.

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🚀 Features

• 🦋 Retrieve species occurrence records
• 🌎 Download environmental variables
• 🌿 Extract NDVI and NDWI from Sentinel-2
• 🌡️ Retrieve climate variables from WorldClim
• 🌐 Query ecological interactions from GloBI
• 🤖 Train Species Distribution Models
• 🗺️ Generate habitat suitability maps
• 📊 Interactive desktop interface

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🧩 EcoToolBox Ecosystem

EcoLab integrates the other projects in the EcoToolBox ecosystem.

Project	Purpose
🌍 EcoEnv	Environmental variables
🦋 EcoObs	Species occurrence records
🌿 EcoInteract	Ecological interactions

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🏗️ Architecture

                User
                  │
                  ▼
             React Frontend
                  │
                  ▼
           FastAPI Backend
                  │
    ┌─────────────┼─────────────┐
    │             │             │
    ▼             ▼             ▼
 EcoObs       EcoEnv      EcoInteract
    │             │             │
    └─────────────┼─────────────┘
                  ▼
      Species Distribution Models
                  ▼
      Habitat Suitability Maps

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🔬 Data Sources

EcoLab integrates data from internationally recognized biodiversity repositories.

Source	Purpose
GBIF	Species occurrence records
iNaturalist	Citizen science observations
SpeciesLink	Brazilian biodiversity records
Sentinel-2	NDVI and NDWI
WorldClim	Climate variables
GloBI	Ecological interactions

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🤖 Machine Learning

EcoLab currently supports several machine learning algorithms for Species Distribution Modeling, including:

• Random Forest
• MaxEnt
• Logistic Regression
• Support for additional algorithms through scikit-learn

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💻 Technology Stack

Backend

• Python
• FastAPI
• Uvicorn

Frontend

• React
• Material UI

Data Science

• Pandas
• GeoPandas
• NumPy
• Scikit-learn

Geospatial

• Rasterio
• Shapely
• Google Earth Engine

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📷 Screenshots

Screenshots will be added soon.

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📄 Scientific Publications

EcoLab has been developed as part of a Master's research project in Applied Computing at UTFPR and has been presented in peer-reviewed scientific publications.

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📦 Installation

Pre-built installers are available through the GitHub Releases page.

Supported platforms:

• Windows
• Linux
• macOS

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🌱 Related Projects

• 🌍 EcoEnv
• 🦋 EcoObs
• 🌿 EcoInteract

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🤝 Contributing

Contributions are welcome.

Feel free to open issues or submit pull requests.

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📜 License

MIT License.