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 a novel agent-based modeling (ABM) framework that facilitates socio-ecological systems (SES) research. It serves as an extension package of Mesa, the most popular ABM framework, and further enhances agents' interactions with other components, especially grid-like spaces. With a configuration file for managing parameters and an improved data Input/Output system, ABSESpy's modularity and low-coupling design enable elegant maintenance of large modeling projects. In addition, ABSESpy includes a schedule that aligns models' tick with the calendar time. These innovations position ABSESpy as a valuable tool in fostering more ABMs for real-world SES issues. Its ultimate aim is to become the go-to choice for ABM when working with a human-involved changing world.
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...
Contributors ✨
 Shuang Song 📖 |
 Elías José Mantilla Ibarra 📖 |
 Chentai Jiao 📖 |
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
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