Computational Model Library

lgm_ecodynamics (1.1.0)

This is a modification of a model published previous by Barton and Riel-Salvatore (2012). In this model, we simulate six regional populations within Last Glacial Maximum western Europe. Agents interact through reproduction and genetic markers attached to each of six regions mix through subsequent generations as a way to track population dynamics, mobility, and gene flow. In addition, the landscape is heterogeneous and affects agent mobility and, under certain scenarios, their odds of survival.

Release Notes

This version of the model is being submitted along side a submitted manuscript. Updates expected after peer-review.

Associated Publications

lgm_ecodynamics 1.1.0

Submitted by Colin Wren Published Apr 22, 2019 Last modified Apr 22, 2019
palaeolithic climate change adaptation archaeological computing

This is a modification of a model published previous by Barton and Riel-Salvatore (2012). In this model, we simulate six regional populations within Last Glacial Maximum western Europe. Agents interact through reproduction and genetic markers attached to each of six regions mix through subsequent generations as a way to track population dynamics, mobility, and gene flow. In addition, the landscape is heterogeneous and affects agent mobility and, under certain scenarios, their odds of survival.

Release Notes

This version of the model is being submitted along side a submitted manuscript. Updates expected after peer-review.

Cite this Model

Colin Wren (2019, April 22). “lgm_ecodynamics” (Version 1.1.0). CoMSES Computational Model Library. Retrieved from: https://doi.org/10.25937/na38-tj46

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Contributors
Colin Wren
DOI

10.25937/na38-tj46

Model Version
1.1.0
License
GPL-2.0
Programming Language
NetLogo
Software Framework
NetLogo
Operating System
Operating System Independent
Publish Date
Monday, April 22, 2019
Last Updated
Monday, April 22, 2019
Downloads 164
Peer Reviewed
Open Code Badge
Version Submitter First published Last modified Status
1.1.0 Colin Wren Mon Apr 22 20:46:09 2019 Mon Apr 22 20:46:09 2019 Published Peer Reviewed https://doi.org/10.25937/na38-tj46

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