About the CoMSES Model Library more info
CoMSES Net maintains cyberinfrastructure to foster FAIR data principles for access to and (re)use of computational models. Model authors can publish their model code in the Computational Model Library with documentation, metadata, and data dependencies and support these FAIR data principles as well as best practices for software citation. Model authors can also request that their model code be peer reviewed 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 archive tutorial or contact us if you have any questions or concerns about archiving your model.
CoMSES Net also maintains a curated database of over 7500 publications of agent-based and individual based models with additional metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
MedLanD Modeling Laboratory
C Michael Barton Isaac Ullah Gary Mayer Sean Bergin Hessam Sarjoughian Helena Mitasova | Published Fri May 8 16:36:35 2015 | Last modified Thu Dec 14 15:48:43 2017The MML is a hybrid modeling environment that couples an agent-based model of small-holder agropastoral households and a cellular landscape evolution model that simulates changes in erosion/deposition, soils, and vegetation.
Rural Industries Supply Chain (RISC) model
Jiaqi Ge Gary Polhill | Published Mon May 13 12:59:21 2019The code shared here accompanies the paper at https://doi.org/10.1371/journal.pone.0208451. It simulates the effects of various economic trade scenarios on the phenomenon of the ‘disappearing middle’ in the Scottish beef and dairy farming industries. The ‘disappearing middle’ is a situation in which there is a simultaneous observed decline in medium-sized enterprises and rise in the number of small and large-scale enterprises.
Transport simulation in a real road network
Jiaqi Ge Gary Polhill | Published Tue Apr 17 15:01:37 2018 | Last modified Tue Apr 17 15:06:43 2018Ge, J., & Polhill, G. (2016). Exploring the Combined Impact of Factors Influencing Commuting Patterns and CO2 Emission in Aberdeen Using an Agent-Based Model. Journal of Artificial Societies and Social Simulation, 19(3). http://jasss.soc.surrey.ac.uk/19/3/11.html
We develop an agent-based transport model using a realistic GIS-enabled road network and the car following method. The model can be used to study the impact of social interventions such as flexi-time and workplace sharing, as well as large infrastructure such as the construction of a bypass or highway. The model is developed in Netlogo version 5 and requires road network data in GIS format to run.
FEARLUS-SPOMM
Gary Polhill Nick Gotts Alistair Law Luis Izquierdio Alessandro Gimona Lee-Ann Sutherland Dawn Parker | Published Fri Mar 25 15:05:25 2016This is a coupled conceptual model of agricultural land decision-making and incentivisation and species metacommunities.