About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models to receive a DOI.
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 contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with additional detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Displaying 6 of 46 results ecology clear search
A model of urban expansion policy scenarios using an agent-based approach—a case of the Guangzhou Metropolitan Region of China
Guangjin Tian | Published Friday, March 21, 2014Three policy scenarios for urban expansion under the influences of the behaviours and decision modes of four agents and their interactions have been applied to predict the future development patterns of the Guangzhou metropolitan region.
Diet breadth model from Optimal Foraging Theory (Human Behavioral Ecology)
C Michael Barton | Published Wednesday, November 26, 2008 | Last modified Thursday, March 12, 2015Diet breadth is a classic optimal foraging theory (OFT) model from human behavioral ecology (HBE). Different resources, ranked according to their food value and processing costs, are distributed in th
Forager mobility and interaction
L S Premo | Published Thursday, January 10, 2013 | Last modified Saturday, April 27, 2013This is a relatively simple foraging-radius model, as described first by Robert Kelly, that allows one to quantify the effect of increased logistical mobility (as represented by increased effective foraging radius, r_e) on the likelihood that 2 randomly placed central place foragers will encounter one another within 5000 time steps.
Feedback Loop Example: Wildland Fire Spread
James Millington | Published Friday, December 21, 2012 | Last modified Saturday, April 27, 2013This model is a replication of that described by Peterson (2002) and illustrates the ‘spread’ feedback loop type described in Millington (2013).
Landscape connectivity and predator–prey population dynamics
Jacopo A. Baggio | Published Thursday, November 10, 2011 | Last modified Saturday, April 27, 2013A simple model to assess the effect of connectivity on interacting species (i.e. predator-prey type)
Patch choice model from Optimal Foraging Theory (Human Behavioral Ecology)
C Michael Barton | Published Saturday, November 22, 2008 | Last modified Saturday, April 27, 2013NetLogo model of patch choice model from optimal foraging theory (human behavioral ecology).
Displaying 6 of 46 results ecology clear search