Computational Model Library

Our mission is to help computational modelers develop, document, and share their computational models in accordance with community standards and good open science and software engineering practices. Model authors can publish their model source code in the Computational Model Library with narrative documentation as well as metadata that supports open science and emerging norms that facilitate software citation, computational reproducibility / frictionless reuse, and interoperability. Model authors can also request private peer review of their computational models. Models that pass peer review receive a DOI once published.

All users of models published in the library must cite model authors when they use and benefit from their code.

Please check out our model publishing tutorial and feel free to contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.

Displaying 3 of 253 results for "Santiago L Rovere" clear search

This is an adaptation and extension of Robert Axtell’s model (2013) of endogenous firms, in Python 3.4

SimAdapt

François Rebaudo | Published Wednesday, August 29, 2012 | Last modified Monday, October 13, 2014

SimAdapt: An individual-based genetic model for simulating landscape management impacts on populations

City Sandbox

Javier Sandoval | Published Thursday, January 09, 2020

This model grows land use patterns that emerge as a result of land-use compatibilities stablished in urban development plans, land topography, and street networks. It contains urban brushes to paint streets and land uses as a way to learn about urban pattern emergence through free experimentation.

Displaying 3 of 253 results for "Santiago L Rovere" clear search

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