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

ABSES_banner

An Agent-Based computational framework makes modeling artificial Social-ecological systems easier.

Why ABSESpy?

Agent-based model (ABM) is essential for social-ecological systems (SES) research. ABSESpy is designed for modeling couples humans and nature systems by:

Basic Usage & Documents

Install with pip or your favorite PyPI package manager.

pip install abses

Access the Documentation here.

Drawing

Get in touch

  • For enthusiastic developers and contributors, all contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.
  • SES researchers are welcome to use this package in social-ecological system (SES) studies. It would be appreciated if you contribute a published model to our gallery.

If you need any help when using ABSESpy, don't hesitate to get in touch with us through:

  • Ask usage questions ("How to do?") on GitHub Discussions.
  • Report bugs, suggest features, or view the source code on GitHub Issues.
  • Use the mailing list for less well-defined questions or ideas or to announce other projects of interest to ABSESpy users.

License

Copyright 2023, ABSESpy Shuang Song

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

https://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

ABSESpy bundles portions of Mesa, mesa-geo, pandas, NumPy, and Xarray; the full text of these licenses are included in the licenses directory.

Thanks to all contributors

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-0.3.0.tar.gz (40.3 kB view details)

Uploaded Source

Built Distribution

abses-0.3.0-py3-none-any.whl (56.7 kB view details)

Uploaded Python 3

File details

Details for the file abses-0.3.0.tar.gz.

File metadata

  • Download URL: abses-0.3.0.tar.gz
  • Upload date:
  • Size: 40.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.11.2 Darwin/23.0.0

File hashes

Hashes for abses-0.3.0.tar.gz
Algorithm Hash digest
SHA256 99b31694037fe898989fb2b0adb591abc2aa18a7d7d01ca34c54592131b14944
MD5 6342ee247dd667dd442b21ed8fd53448
BLAKE2b-256 414c09a7cdfc13d3fb9581584b18518d26763d0a778b248bccca46d412a67018

See more details on using hashes here.

File details

Details for the file abses-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: abses-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 56.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.11.2 Darwin/23.0.0

File hashes

Hashes for abses-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4f8579a8899660b64743f63879c70edce5b0b82a5e4d3049c2ac75e12f61b749
MD5 8aa8c6cc8f1d7fb8c09de59c31a1f07c
BLAKE2b-256 424b6bc372207b730085c9b5a19c89af179f8250da27ffa508cbbb5898e29bca

See more details on using hashes here.

Supported by

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