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
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
- 🌍 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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