Skip to main content

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

ABSES_banner

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

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...

Contributors ✨

Shuang Song
Shuang Song

📖
Elías José Mantilla Ibarra
Elías José Mantilla Ibarra

📖
Chentai Jiao
Chentai Jiao

📖

Thanks goes to these wonderful people (emoji key):

This project follows the all-contributors specification. Contributions of any kind welcome!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

abses-0.8.5.tar.gz (87.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

abses-0.8.5-py3-none-any.whl (112.5 kB view details)

Uploaded Python 3

File details

Details for the file abses-0.8.5.tar.gz.

File metadata

  • Download URL: abses-0.8.5.tar.gz
  • Upload date:
  • Size: 87.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.11.14 Linux/6.14.0-1012-azure

File hashes

Hashes for abses-0.8.5.tar.gz
Algorithm Hash digest
SHA256 47ceb2dc077ffbf79017db5ca3b70de2f1dbd4f2a833abffc34e495fa168d5c0
MD5 8f10cb9820c229e3c43b17c1a313c9d9
BLAKE2b-256 c58dfe39bcf5228bfab92b9ddd168a13f8b29ff9e86b3402ba2f4064d29703fe

See more details on using hashes here.

File details

Details for the file abses-0.8.5-py3-none-any.whl.

File metadata

  • Download URL: abses-0.8.5-py3-none-any.whl
  • Upload date:
  • Size: 112.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.11.14 Linux/6.14.0-1012-azure

File hashes

Hashes for abses-0.8.5-py3-none-any.whl
Algorithm Hash digest
SHA256 de60d03b3475401c6dd5565a7723954b658c969c7a9a454f56e32a443cd08beb
MD5 f09f99d54b8f2d73ddea2c940c0c1c88
BLAKE2b-256 972b611157a640f84caf4544b539648080581607986b3562b1fd193bddc55d5e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page