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https://github.com/nismod/smif
Simulation Modelling Integration Framework
https://github.com/nismod/smif
coupling infrastructure model optimization simulation
Last synced: about 1 month ago
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Simulation Modelling Integration Framework
- Host: GitHub
- URL: https://github.com/nismod/smif
- Owner: nismod
- License: mit
- Created: 2016-09-01T12:17:41.000Z (about 8 years ago)
- Default Branch: main
- Last Pushed: 2024-07-02T09:22:29.000Z (3 months ago)
- Last Synced: 2024-07-14T13:32:16.219Z (2 months ago)
- Topics: coupling, infrastructure, model, optimization, simulation
- Language: Python
- Homepage: http://www.itrc.org.uk
- Size: 10.6 MB
- Stars: 22
- Watchers: 9
- Forks: 6
- Open Issues: 21
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGELOG.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE.txt
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Authors: AUTHORS.rst
Awesome Lists containing this project
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README
.. _readme:
====
smif
====
Simulation Modelling Integration Framework
.. image:: https://github.com/nismod/smif/actions/workflows/test.yml/badge.svg
:target: https://github.com/nismod/smif/actions/workflows/test.yml
:alt: GitHub Actions build status
.. image:: https://img.shields.io/pypi/v/smif.svg
:target: https://pypi.python.org/pypi/smif
:alt: PyPI package
.. image:: https://img.shields.io/conda/vn/conda-forge/smif.svg
:target: https://anaconda.org/conda-forge/smif
:alt: conda-forge package
.. image:: https://zenodo.org/badge/67128476.svg
:target: https://zenodo.org/badge/latestdoi/67128476
:alt: Archive
.. image:: https://img.shields.io/badge/JORS-10.5334%2fjors.265-blue.svg
:target: https://doi.org/10.5334/jors.265
:alt: Journal of Open Research Software paper
.. image:: https://readthedocs.org/projects/smif/badge/?version=latest
:target: https://smif.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
**smif** is a framework for handling the creation, management and running of system-of-systems
models.
A system-of-systems model is a collection of system simulation models that are coupled through
dependencies on data produced by each other.
**smif** provides a user with the ability to
- create system-of-systems models
- add simulation models to a system-of-systems model
- create dependencies between models by linking model inputs and outputs
- pick from a library of data adapters which perform common data conversions across
dependencies
- create user-defined data adapters for more special cases
- add scenario data sources and link those to model inputs within a system-of-systems
- add a simulation model to a library of models
- write a simulation model wrapper which allows **smif** to run the model
- define multi-dimensional model inputs, outputs and parameters and appropriate metadata
- run system-of-systems models
- link concrete scenario data sets to a system-of-systems model
- define one or more decision modules that operate across the system-of-systems
- define a narrative to parameterise the contained models
- persist intermediate data for each model output, and write results to a data store for
subsequent analysis
In summary, the framework facilitates the hard coupling of complex systems models into a
system-of-systems.
Should I use **smif**?
======================
There are number of practical limits imposed by the implementation of **smif**.
These are a result of a conscious design decision that stems from the requirements of
coupling the infrastructure system models to create the next generation
National Infrastructure System Model (NISMOD2).
The discussion below may help you determine whether **smif** is an appropriate
tool for you.
- **smif** *is not* a scheduler, but has been designed to make performing
system-of-systems analyses with a scheduler easier
- Geographical extent is expected to be defined explicitly by a vector geometry
- **smif** *is not* optimised for models which simulate on a grid,
though they can be accomodated
- **smif** *is* designed for models that read and write spatial data
defined over irregular grids or polygons using any spatial format readable
by `fiona `_
- Inputs and outputs are exchanged at the ‘planning timestep’ resolution
- **smif** makes a distinction between simulation of operation, which happens
at a model-defined timestep resolution, and application of
planning decisions which happens at a timestep which is synchronised
between all models
- **smif** *is not* focussed on tight coupling between models which need to exchange
data at every simulation timestep (running in lockstep)
- **smif** *does* accomodate individual models with different spatial and temporal
(and other dimensional) resolutions, by providing data adaptors to convert from one
resolution to another
- **smif** has been designed to support the coupling of bottom-up, engineering
simulation models built to simulate the operation of a given infrastructure system
- **smif** *provides* a mechanism for passing information from the system-of-systems
level (at planning timesteps scale) to the contained models
- **smif** *is* appropriate for coupling large complex models that exchange
resources and information at relatively course timesteps
- **smif** is not appropriate for
- discrete event system simulation models (e.g. queuing systems)
- dynamical system models (e.g. predator/prey)
- equilibrium models without explicit timesteps (e.g. Land-Use Transport Interaction)
- for simulating 100s of small actor-scale entities within a system-level environment
Installation and Configuration
==============================
**smif** is written in Python (Python>=3.5) and has a number of dependencies.
See `requirements.txt` for a full list.
Using conda
-----------
The recommended installation method is to use `conda
`_, which handles packages and virtual environments,
along with the `conda-forge` channel which has a host of pre-built libraries and packages.
Create a conda environment::
conda create --name smif_env python=3.6
Activate it (run each time you switch projects)::
conda activate smif_env
Add the conda-forge channel, which has smif available::
conda config --add channels conda-forge
Finally install ``smif``::
conda install smif
Installing `smif` with other methods
------------------------------------
Once the dependencies are installed on your system,
a normal installation of `smif` can be achieved using pip on the command line::
pip install smif
Versions under development can be installed from github using pip too::
pip install git+http://github.com/nismod/smif
To install from the source code in development mode::
git clone http://github.com/nismod/smif
cd smif
python setup.py develop
Spatial libraries
-----------------
``smif`` optionally depends on `fiona `_ and `shapely
`_, which depend on the GDAL and GEOS libraries. These
add support for reading and writing common spatial file formats and for spatial data
conversions.
If not using conda, on Mac or Linux these can be installed with your OS package manager::
# On debian/Ubuntu:
apt-get install gdal-bin libspatialindex-dev libgeos-dev
# or on Mac
brew install gdal
brew install spatialindex
brew install geos
Then to install the python packages, run::
pip install smif[spatial]
Running `smif` from the command line
====================================
Follow the `getting started guide
`_ to help set up the
necessary configuration.
To set up an sample project in the current directory, run::
$ smif setup
To list available model runs::
$ smif list
demo_model_run
...
To start the smif app, a user-interface that helps to display, create and edit a configuration,
run::
$ smif app
To run a system-of-systems model run::
$ smif run demo_model_run
...
Model run complete
By default, results will be stored in a results directory, grouped by model run
and simulation model.
To see all options and flags::
$ smif --help
usage: smif [-h] [-V] {setup,list,run} ...
Command line tools for smif
positional arguments:
{setup,list,app,run} available commands
setup Setup the project folder
list List available model runs
app Open smif app
run Run a model
optional arguments:
-h, --help show this help message and exit
-V, --version show the current version of smif
Citation
========
If you use **smif** for research, please cite the software directly:
* Will Usher, Tom Russell, Roald Schoenmakers, Craig Robson, Fergus Cooper, Thibault Lestang & Rose Dickinson. (2019). nismod/smif
vX.Y.Z (Version vX.Y.Z). Zenodo. http://doi.org/10.5281/zenodo.1309336
Here's an example BibTeX entry::
@misc{smif_software,
author = {Will Usher and Tom Russell and Roald Schoenmakers and Craig Robson and Fergus Cooper and Thibault Lestang and Rose Dickinson},
title = {nismod/smif vX.Y.Z},
month = Aug,
year = 2018,
doi = {10.5281/zenodo.1309336},
url = {https://doi.org/10.5281/zenodo.1309336}
}
Please also cite the software description paper:
* Will Usher and Tom Russell. (2019) A Software Framework for the Integration of Infrastructure
Simulation Models. Journal of Open Research Software, 7: 16 DOI:
https://doi.org/10.5334/jors.265
Here's an example BibTeX entry::
@misc{smif_paper,
author = {Will Usher and Tom Russell},
title = {A Software Framework for the Integration of Infrastructure Simulation Models},
journal = {Journal of Open Research Software},
volume = {7},
number = {16},
pages = {1--5},
month = May,
year = {2019},
doi = {10.5334/jors.265},
url = {https://doi.org/10.5334/jors.265}
}
A word from our sponsors
========================
**smif** was written and developed at the `Environmental Change Institute, University of Oxford
`_ within the EPSRC sponsored MISTRAL programme, as part of the
`Infrastructure Transition Research Consortium `_.