R code and example data for using genogeographic clustering approach

While in recent years there have been considerable advances in discerning spatial genetic patterns within species, the task of identifying common patterns across species is still challenging. Approaches using new data from co-sampled species permit rigorous statistical analysis but are often limited to a small number of species; meta-analyses of published data can encompass a much broader range of species, but are usually restricted by uneven data properties. There is a need for new approaches that bring greater statistical rigour to meta-analyses, and are also able to discern more than a single spatial pattern among species. We propose a new approach for comparative multi-species meta-analyses of published population genetic data that addresses many existing limitations. This analysis takes a three-stage approach: (i) use common genetic metrics to measure location-specific diversity across the sampled range of each species, (ii) use an innovative graphing technique to describe spatial ...近年来，学界在解析物种种内空间遗传格局方面已取得长足进展，但跨物种共性空间格局的识别任务仍颇具挑战。采用共采样物种的新型数据开展的研究方法可实现严谨的统计分析，但往往仅能覆盖少量物种类群；而基于已发表数据的荟萃分析（meta-analyses）虽能涵盖更广范围的物种，却常受限于数据属性不均一的问题。当前亟需既能为荟萃分析赋予更强统计严谨性，又可同时识别物种间多种空间格局的新研究路径。 我们提出一种面向已发表种群遗传数据（population genetic data）的比较性多物种荟萃分析新方法，可解决诸多现有研究局限。该分析采用三阶段研究流程：(i) 依托通用遗传指标，测算各物种种采样范围内的位点特异性多样性；(ii) 运用创新性绘图技术描述空间……