Computational Model Library

Street Dog Sim - An agent based model for investigating strategies of free roaming dog control. (1.1.0)

This is an agent-based model constructed in Netlogo v6.2.2 which seeks to provide a simple but flexible tool for researchers and dog-population managers to help inform management decisions.

It replicates the basic demographic processes including:
* reproduction
* natural death
* dispersal
* carrying capacities

And enables modification of the system through several management schemes:
* vaccination
* sterilization
* lethal culling

Release Notes

This is the first public version.

Associated Publications

Street Dog Sim - An agent based model for investigating strategies of free roaming dog control. 1.1.0

Submitted by Andrew Calinger-yoak Published Jul 19, 2023 Last modified Dec 05, 2024
agent based NetLogo 6.2.2 NetLogo population dynamics

This is an agent-based model constructed in Netlogo v6.2.2 which seeks to provide a simple but flexible tool for researchers and dog-population managers to help inform management decisions.

It replicates the basic demographic processes including:
* reproduction
* natural death
* dispersal
* carrying capacities

And enables modification of the system through several management schemes:
* vaccination
* sterilization
* lethal culling

Release Notes

This is the first public version.

Cite this Model

Andrew Calinger-yoak (2023, July 19). “Street Dog Sim - An agent based model for investigating strategies of free roaming dog control.” (Version 1.1.0). CoMSES Computational Model Library. Retrieved from: https://doi.org/10.25937/y4s3-m411

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Contributors
Andrew Calinger-yoak
DOI

10.25937/y4s3-m411

Model Version
1.1.0
License
MIT
Programming Language
NetLogo
Software Framework
NetLogo 6.2.2 NetLogo
Operating System
Operating System Independent
Publish Date
Wednesday, July 19, 2023
Last Updated
Thursday, December 05, 2024
Downloads 37
Peer Reviewed
Open Code Badge
Version Submitter First published Last modified Status
1.1.0 Andrew Calinger-yoak Wed Jul 19 03:19:18 2023 Thu Dec 5 06:38:27 2024 Published Peer Reviewed DOI: 10.25937/y4s3-m411

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