Spatial Analysis in Population Biology

群体生物学中的空间分析

• 批准号: 8918636
• 负责人: Robert Sokal
• 金额: $ 18.5万
• 依托单位: SUNY at Stony Brook
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-02-01 至 1994-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8918636&HistoricalAwards=false
• 关键词: Spatial; Analysis; Population; Biology

Most data of ecological and evolutionary interest are located in geographic space. This spatial context of data such as patterns of birds' nests, genetic variation patterns, or tree distributions leads to interesting problems in ecological and evolutionary theory, and, at the same time, requires allowance for these spatial patterns in statistical analyses that involve such data. The latter have largely been ignored to date, and Dr. Sokal's work will contribute to a recognition of their importance among ecologists and evolutionists. Dr. Sokal will examine, by a variety of analytical (mathematical) and computer simulation approaches, the validity of a number of tests that have become popular in recent years. The results of this research should greatly facilitate inferences from patterns to processes in a wide variety of problems in population biology. These procedures have considerable practical application since virtually all environmental problems have a spatial dimension. Thus, tests of the effects of pollutants, such as acid rain, need to take the spatial relationships of the data into consideration before evaluation of those results. This is an approach that has so far rarely been followed in either environmental or epidemiological work.

大多数生态和进化方面的数据都是 位于地理空间。 这种数据的空间背景， 比如鸟巢的图案，遗传变异的图案， 分布导致了有趣的生态问题， 进化论，同时，需要允许 这些空间模式的统计分析， 这样的数据。 到目前为止，后者在很大程度上被忽视了。 索卡尔的工作将有助于人们认识到它们的重要性 在生态学家和进化论者中。 索卡尔博士将通过 各种分析（数学）和计算机模拟 方法，一些测试的有效性，已成为 近年来很受欢迎。 这项研究的结果应该 极大地促进了从模式到过程的推断， 种群生物学中的各种问题。 这些程序有相当大的实际应用 由于几乎所有的环境问题都有一个空间 维度 因此，测试污染物的影响，如 酸雨，需要采取的空间关系的数据 在评估这些结果之前， 这是 迄今为止，这一方法在两个国家都很少被采用， 环境或流行病学工作。