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CMR net : An r package to derive networks of social interactions and movement from mark–recapture data
Author(s) -
Silk Matthew J.,
McDonald Robbie A.,
Delahay Richard J.,
Padfield Daniel,
Hodgson David J.
Publication year - 2021
Publication title -
methods in ecology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.425
H-Index - 105
ISSN - 2041-210X
DOI - 10.1111/2041-210x.13502
Subject(s) - mark and recapture , r package , movement (music) , computer science , key (lock) , social network (sociolinguistics) , geography , data science , econometrics , biology , social media , ecology , demography , world wide web , mathematics , sociology , population , philosophy , computational science , aesthetics
Long‐term capture–mark–recapture data provide valuable information on the movements of individuals between locations, and the contemporary and/or co‐located captures of individuals can be used to approximate the social structure of populations. We introduce an r package (CMR net ) that generates social and movement networks from spatially explicit capture–mark–recapture data. It also provides functions for network and datastream permutations for these networks. Here we describe the package and key considerations for its application, providing two example case studies. The conversion of spatially explicit mark–recapture data into social and movement networks will provide insights into the interplay between demography and behaviour in wild animal populations, with important applications in their management and conservation.