Computational Model Library

INOvPOP (1.1.1)

INOvPOP is designed to simulate population dynamics (abundance, sex-age composition and distribution in the landscape) of white-tailed deer (Odocoileus virginianus) for selected Indiana counties. Updated for netLogo 6.4.0

INOvPOP_Interface.png

Release Notes

Updated for netLogo 6.4.0

Associated Publications

INOvPOP 1.1.1

Submitted by Aniruddha Belsare Published Jul 10, 2024 Last modified Dec 05, 2024

INOvPOP is designed to simulate population dynamics (abundance, sex-age composition and distribution in the landscape) of white-tailed deer (Odocoileus virginianus) for selected Indiana counties. Updated for netLogo 6.4.0

Release Notes

Updated for netLogo 6.4.0

Cite this Model

Aniruddha Belsare (2024, July 10). “INOvPOP” (Version 1.1.1). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/21af8266-f25f-4567-a3e4-cff04be0d806/releases/1.1.1/

Replication of a previously described model

Yes.
Aniruddha Belsare, Matthew Gompper, Joshua J Millspaugh (2020, May 12). “MOOvPOP” (Version 2.2.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/5585/releases/2.2.0/

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[![Open Code Badge](https://www.comses.net/static/images/icons/open-code-badge.svg)](https://www.comses.net/codebases/21af8266-f25f-4567-a3e4-cff04be0d806/releases/1.1.1/)
Contributors
Aniruddha Belsare
DOI

This DOI is for the parent Codebase and always points at the most recent published version of this model. 10.25937/fear-7281

Model Version
1.1.1
License
CC-BY-4.0
Programming Language
Netlogo 6.4.0
Software Framework
Netlogo 6.4.0
Operating System
Windows
Publish Date
Wednesday, July 10, 2024
Last Updated
Wednesday, July 10, 2024
Downloads 73
This release has not been reviewed but a different version has passed peer review.
Version Submitter First published Last modified Status
1.1.1 Aniruddha Belsare Wed Jul 10 00:47:08 2024 Wed Jul 10 00:47:08 2024 Published
1.0.0 Aniruddha Belsare Wed Jun 1 13:18:26 2022 Wed Jul 10 00:36:20 2024 Published Peer Reviewed DOI: 10.25937/qy95-2d14

Discussion

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