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ABSESpy makes it easier to build artificial Social-ecological systems with real GeoSpatial datasets and fully incorporate human behaviour.

Project description

ABSESpy: Agent-Based Modeling Framework for Social-Ecological Systems

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ABSESpy is an agent-based modeling (ABM) framework based on Mesa, but it focus more on simulating real-world problems. Tailored specifically for social-ecological systems (SES), or coupled human-nature systems, ABSESpy simplifies the interactions between agents and their grid-like environment. Its ultimate objective is to become the go-to choice for agent-based modeling when working with human-involved environment changes.

Features

ABSESpy API structure
  • 🌍 Modeling social-ecological system with geo-data.
  • 🤖 Managing and manipulating agents with ease of cake.
  • 🕙 Make your model coherent with real-world time.
  • 📁 Handling complex models with a configuration file.
  • 🙋 and more...

Thanks to all contributors

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