Management of biological invasions and conservation activity in the fight against habitat fragmentation both require information on how ongoing dispersal of organisms is affected by the environment. However, there are few landscape genetic computer programs that map resistance to dispersal at small spatiotemporal scales. To facilitate such analyses, we present an r package named ResDisMapper for the mapping of resistance to dispersal at small spatiotemporal scales, without the need for prior knowledge on environmental features or intensive computation. Based on the concept of isolation by distance (IBD), ResDisMapper calculates resistance using deviations of each pair of samples from the general IBD trend (IBD residuals). The IBD residuals are projected onto the studied area, which allows construction and visualization of a fine-scale map of resistance based on spatial accumulation of positive or negative IBD residuals. In this study, we tested ResDisMapper with both simulated and empirical data sets and compared its performance with two other popular landscape genetic programs. Overall, we found that ResDisMapper can map resistance with relatively high accuracy. The latest version of the package and associated documentation are available on Github (https://github.com/takfung/ResDisMapper).

中文翻译：

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ResDisMapper：一个r包，用于精细绘制抗分散性。

应对生境破碎化的生物入侵管理和保护活动都需要有关环境如何影响正在进行的生物扩散的信息。但是，很少有景观遗传计算机程序可以在较小的时空尺度上绘制出对扩散的抵抗力图。为便于进行此类分析，我们提出了一个名为ResDisMapper的r包，用于在较小的时空尺度上映射对扩散的抵抗力，而无需对环境特征或密集计算的先验知识。根据距离隔离（IBD）的概念，ResDisMapper使用每对样本与IBD总体趋势（IBD残差）之间的偏差来计算电阻。将IBD残差投影到研究区域，可以根据正或负IBD残差的空间累积来构造和可视化电阻的精细比例图。在这项研究中，我们使用模拟和经验数据集对ResDisMapper进行了测试，并将其性能与其他两个流行的景观遗传程序进行了比较。总的来说，我们发现ResDisMapper可以以相对较高的精度映射电阻。该软件包的最新版本和相关文档可在Github（https://github.com/takfung/ResDisMapper）上找到。