1. 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.
2. We introduce an r package (CMRnet) 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.
3. 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.

中文翻译：

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CMRnet：一个r包，用于从商标重获数据中得出社交互动和活动的网络

1. 长期捕获-标记-捕获数据可提供有关个体在不同地点之间移动的有价值的信息，并且可以使用当代和/或共处一地的个体捕获来近似人口的社会结构。
2. 我们引入一个r包（CMR net），该包从空间明确的捕获－标记－捕获数据生成社交和运动网络。它还提供用于这些网络的网络和数据流置换的功能。在这里，我们描述了该软件包及其应用的主要注意事项，并提供了两个示例案例研究。
3. 将空间明确的标记回收数据转换为社交网络和运动网络，将提供有关野生动物种群中人口统计学与行为之间相互作用的深刻见解，并在其管理和保护方面具有重要的应用价值。