推论
计算机科学
航程(航空)
点(几何)
协方差
人口
机器学习
数据科学
人工智能
数据挖掘
统计
数学
工程类
社会学
几何学
人口学
航空航天工程
作者
Henry W. G. Birt,Paul G. Dennis
出处
期刊:Methods in molecular biology
日期:2020-11-07
卷期号:: 155-171
被引量:8
标识
DOI:10.1007/978-1-0716-1040-4_14
摘要
Network analysis facilitates examination of the interactions between different populations in a community. It can provide a range of metrics describing the social characteristics of each population and emergent structural properties of the community, which may be used to address novel ecological questions. Using a publicly available dataset, this chapter provides point-by-point code and instructions to infer and analyze a SPIEC-EASI (SParse InversE Covariance Estimation for Ecological Association Inference) network using free, open source software (R and Gephi).
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