The Dendrograph: A New Tool for Correlation

Abstract

Research Article| November 01, 1968 The Dendrograph: A New Tool for Correlation RICHARD B McCAMMON RICHARD B McCAMMON Gulf Research and Development Company, Pittsburgh, Pennsylvania PRESENT ADDRESS: UNIVERSITY OF ILLINOIS AT CHICAGO, CHICAGO, ILLINOIS Search for other works by this author on: GSW Google Scholar Author and Article Information RICHARD B McCAMMON PRESENT ADDRESS: UNIVERSITY OF ILLINOIS AT CHICAGO, CHICAGO, ILLINOIS Gulf Research and Development Company, Pittsburgh, Pennsylvania Publisher: Geological Society of America Received: 21 Jun 1968 First Online: 02 Mar 2017 Online ISSN: 1943-2674 Print ISSN: 0016-7606 Copyright © 1968, The Geological Society of America, Inc. Copyright is not claimed on any material prepared by U.S. government employees within the scope of their employment. GSA Bulletin (1968) 79 (11): 1663–1670. https://doi.org/10.1130/0016-7606(1968)79[1663:TDANTF]2.0.CO;2 Article history Received: 21 Jun 1968 First Online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation RICHARD B McCAMMON; The Dendrograph: A New Tool for Correlation. GSA Bulletin 1968;; 79 (11): 1663–1670. doi: https://doi.org/10.1130/0016-7606(1968)79[1663:TDANTF]2.0.CO;2 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyGSA Bulletin Search Advanced Search Abstract The dendrograph is proposed as a two-dimensional correlation diagram for epicting the mutual relationships among geologic variables. It is onsidered to be the next higher dimensional form of the dendrogram. The dendrograph has the advantage, in that both a within-group and a between-group correlation among variables can be displayed. This permits a more accurate interpretation of the existing data. A rule for ordering variables within the given hierarchical structure is described which imparts to the dendrograph a pyramid shape and preserves, where possible, the initial rank-order preference among the variables. Statistical tests are needed to ensure that a given dendrograph does not merely reflect a random pattern and that no more than the actual number of groupings of variables is considered significant. An example taken from the literature serves to illustrate how the dendrograph is effective in depicting the mutual correlations among a set of geologic variables. This content is PDF only. Please click on the PDF icon to access. First Page Preview Close Modal You do not have access to this content, please speak to your institutional administrator if you feel you should have access.