Skip to main content

AeroMAPS: Multidisciplinary Assessment of Prospective Scenarios for air transport

Project description

image image License: GPL v3

Tests Ruff

Binder

AeroMAPS: Multidisciplinary Assessment of Prospective Scenarios for air transport

AeroMAPS is a framework for performing Multidisciplinary Assessment of Prospective Scenarios for air transport. For instance, it allows simulating and analyzing scenarios for reducing aviation climate impacts through various levers of action. It is intended to become a sectoral Integrated Assessment Model (IAM) taking into account technological, environmental, sociological, economic and other considerations. It aims to assess the sustainability of simulated air transport transition scenarios on multiple criteria.

AeroMAPS is licensed under the GPL-3.0 license.

A documentation is available for more details on AeroMAPS.

Quick start

For a quick start in order to discover the different features of AeroMAPS, a graphical user interface has been developed for facilitating the first uses. It is available at the following address: https://aeromaps.isae-supaero.fr/ Another solution is to use the Binder-hosted graphical user interface.

Quick installation

The use of the Python Package Index (PyPI) is the simplest method for installing AeroMAPS. More details and other solutions are provided in the documentation.

Prerequisite: AeroMAPS needs at least Python 3.9.0.

You can install the latest version with this command:

$ pip install --upgrade aeromaps

Citation

If you use AeroMAPS in your work, please cite the following reference. Other references are available in the documentation.

Planès, T., Delbecq, S., Salgas, A. (2023). AeroMAPS: a framework for performing multidisciplinary assessment of prospective scenarios for air transport. Submitted to Journal of Open Aviation Science.

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

aeromaps-0.7.1b0.tar.gz (3.9 MB view details)

Uploaded Source

Built Distribution

aeromaps-0.7.1b0-py3-none-any.whl (4.0 MB view details)

Uploaded Python 3

File details

Details for the file aeromaps-0.7.1b0.tar.gz.

File metadata

  • Download URL: aeromaps-0.7.1b0.tar.gz
  • Upload date:
  • Size: 3.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/6.5.0-1025-azure

File hashes

Hashes for aeromaps-0.7.1b0.tar.gz
Algorithm Hash digest
SHA256 b8298c8ac690886e51c5ae886e8a7565e9404a292cda29822e3925e41c582bd0
MD5 e823477f8635ca9b47798330ac5855d2
BLAKE2b-256 f4031afcf67415ce5c52fc9b9a5e160b7478eb6bb8e26a600517dfd8d90a3147

See more details on using hashes here.

File details

Details for the file aeromaps-0.7.1b0-py3-none-any.whl.

File metadata

  • Download URL: aeromaps-0.7.1b0-py3-none-any.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/6.5.0-1025-azure

File hashes

Hashes for aeromaps-0.7.1b0-py3-none-any.whl
Algorithm Hash digest
SHA256 2cfca1f682a0df26d1946f16a5209ae4aaa2b97cbba59ff35d55647f89d72212
MD5 712b50cbc737306be59f2123d50f7a33
BLAKE2b-256 055306835bd3eabf9c99dbe73c0074fa8eac7f4ff08aaa59a667677ed7e0d2ba

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