Relethford John H
Department of Anthropology, State University of New York College at Oneonta, Oneonta, NY 13820, USA.
Am J Phys Anthropol. 2008 May;136(1):1-10. doi: 10.1002/ajpa.20789.
A variety of methods have been used to make evolutionary inferences based on the spatial distribution of biological data, including reconstructing population history and detection of the geographic pattern of natural selection. This article provides an examination of geostatistical analysis, a method used widely in geology but which has not often been applied in biological anthropology. Geostatistical analysis begins with the examination of a variogram, a plot showing the relationship between a biological distance measure and the geographic distance between data points and which provides information on the extent and pattern of spatial correlation. The results of variogram analysis are used for interpolating values of unknown data points in order to construct a contour map, a process known as kriging. The methods of geostatistical analysis and discussion of potential problems are applied to a large data set of anthropometric measures for 197 populations in Ireland. The geostatistical analysis reveals two major sources of spatial variation. One pattern, seen for overall body and craniofacial size, shows an east-west cline most likely reflecting the combined effects of past population dispersal and settlement. The second pattern is seen for craniofacial height and shows an isolation by distance pattern reflecting rapid spatial changes in the midlands region of Ireland, perhaps attributable to the genetic impact of the Vikings. The correspondence of these results with other analyses of these data and the additional insights generated from variogram analysis and kriging illustrate the potential utility of geostatistical analysis in biological anthropology.
人们已经使用了多种方法,根据生物数据的空间分布进行进化推断,包括重建种群历史和检测自然选择的地理模式。本文探讨了地质统计学分析方法,该方法在地质学中广泛应用,但在生物人类学中却不常使用。地质统计学分析始于对变异函数图的考察,变异函数图展示了生物距离度量与数据点之间地理距离的关系,并提供了有关空间相关性程度和模式的信息。变异函数图分析的结果用于内插未知数据点的值,以构建等值线图,这一过程称为克里金法。本文将地质统计学分析方法及潜在问题的讨论应用于爱尔兰197个人口群体的大量人体测量数据集。地质统计学分析揭示了空间变异的两个主要来源。一种模式体现在总体身体和颅面大小上,呈现出一条东西向梯度变化,最有可能反映过去种群扩散和定居的综合影响。第二种模式体现在颅面高度上,呈现出距离隔离模式,反映了爱尔兰中部地区快速的空间变化,这可能归因于维京人的基因影响。这些结果与对这些数据的其他分析的对应关系,以及变异函数图分析和克里金法产生的额外见解,说明了地质统计学分析在生物人类学中的潜在效用。