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pathomove: An individual-based model for the evolution of animal movement strategies under the risk of pathogen transmission

Authors: Pratik Rajan Gupte;

pathomove: An individual-based model for the evolution of animal movement strategies under the risk of pathogen transmission

Abstract

This repository holds the source code for the Pathomove simulation, a spatially explicit, individual-based, evolutionary model of the evolution of animal social movement strategies under the risk of pathogen transmission. This is a release of a corrected version of the simulation model code, in preparation for a resubmission to eLife. The main changes here are: Correction of the implementation of exploitation competition; Addition of unit tests for agent movement, foraging, and inheritance; Addition of linting workflows for the C++ code; Reorganisation of the package code to move most of the C++ code into header files that allow building other Rcpp packages on top of pathomove.

This work was developed in the Modelling Adaptive Response Mechanisms Group (Weissing Lab) (https://www.marmgroup.eu/) at the Groningen Institute for Evolutionary Life Science, at the University of Groningen.

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Keywords

Rcpp, animal-movement-ecology, evolutionary-ecology, epidemiology, R-package, individual-based-model

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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