{"title":"Event review: Using multivariate analyses to interpret lithic variability: Contributions and limitations","authors":"A. Leplongeon, E. Garcea","doi":"10.2218/jls.6666","DOIUrl":null,"url":null,"abstract":"A selection of papers presented at the Special Session 8 ‘Using multivariate analyses to interpret lithic variability: Contributions and limitations’ held during the 2018 MetroArchaeo conference (22-24 October 2018, Cassino, Italy) is published in the Journal of Lithic Studies. Multivariate statistical analyses are increasingly used to discern patterns of variability in archaeological materials and help with their interpretation. Commonly used ones include Principal Component Analysis, Multiple Correspondence Analysis, Discriminant Analysis, Multiple Regression, General Linear Model, or Cluster Analysis, applied in various contexts of study: geometric morphometrics, spatial analysis or inter-assemblage comparisons.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2021-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2218/jls.6666","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
A selection of papers presented at the Special Session 8 ‘Using multivariate analyses to interpret lithic variability: Contributions and limitations’ held during the 2018 MetroArchaeo conference (22-24 October 2018, Cassino, Italy) is published in the Journal of Lithic Studies. Multivariate statistical analyses are increasingly used to discern patterns of variability in archaeological materials and help with their interpretation. Commonly used ones include Principal Component Analysis, Multiple Correspondence Analysis, Discriminant Analysis, Multiple Regression, General Linear Model, or Cluster Analysis, applied in various contexts of study: geometric morphometrics, spatial analysis or inter-assemblage comparisons.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.