Multivariate Geochemical Data Analysis in Physical Geography

Jennifer McKinley*, Christopher David Lloyd

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)
Original languageEnglish
Title of host publicationCompositional Data Analysis
Subtitle of host publicationTheory and Applications
PublisherJohn Wiley and Sons
Pages290-301
Number of pages12
ISBN (Print)9780470711354
DOIs
Publication statusPublished - 28 Jul 2011

Keywords

  • Aitchison (2003), and additive log-ratio (alr)-and centred log-ratio (clr)
  • Application of balances in analysis of data-from geographically extensive ground-based geochemical survey
  • Compositional nature of soil geochemical data-and reliability of results
  • Exploration of relations-between balances, key step and correlation matrix for the balances
  • Geochemical data, four classes-prior knowledge, of dominant geological formations
  • Geographic attributes, rarely Gaussian-characteristics associated with compositional data
  • Geographical analysis for environmental-geological or economic applications
  • Multivariate geochemical data analysis-in physical geography
  • North-south trending basement lineaments-continuation of the Omagh lineament
  • Variogram analysis-examining spatial variability in the balances

ASJC Scopus subject areas

  • Mathematics(all)

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