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Variogram models for regional groundwater geochemical data (1982)

Myers, D. E. ; Begovich, C. L. ; Butz, T. R. ; [et al.]

Springer

Mathematical geology 14 (1982), S. 629-644

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ISSN: 1573-8868

Keywords: variogram ; kriging ; interpolation ; contouring ; inverse distance weighting ; geochemical gradient

Source: Springer Online Journal Archives 1860-2000

Topics: Geosciences , Mathematics

Notes: Abstract Four variogram models for regional groundwater geochemical data are presented. These models were developed from an empirical study of the sample variograms for more than 10 elements in groundwaters from two geologic regions in the Plainview quandrangle, Texas. A procedure is given for the estimation of the variogram in the isotropic and anisotropic case. The variograms were found useful for quantifying the differences in spatial variability for elements within a geologic unit and for elements in different geologic units. Additionally, the variogram analysis enables assessment of the assumption of statistical independence of regional samples which is commonly used in many statistical procedures. The estimated variograms are used in computation of kriged estimates for the Plainview quadrangle data. The results indicate that an inverse distance weighting model was superior for prediction than simple kriging with the particular variograms used.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF01033884

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Correspondence analysis and adsorbate selection for chemical sensor arrays (1991)

Avila, Fernando ; Myers, D. E. ; Palmer, Chris

New York, NY : Wiley-Blackwell

Journal of Chemometrics 5 (1991), S. 455-465

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ISSN: 0886-9383

Keywords: Correspondence analysis ; Cluster analysis ; Optimization ; Eigenanalysis ; Chemistry ; Analytical Chemistry and Spectroscopy

Source: Wiley InterScience Backfile Collection 1832-2000

Topics: Chemistry and Pharmacology

Notes: Carey et al. utilized principal components analysis (PCA) to analyze frequency shift data obtained from piezoelectric sensors formed by coating quartz crystals with 27 different GC stationary phases and tested using 14 analytes. The objective of the analysis was to determine an optimal reduced set of coatings for detection of the analytes. The results were correlated with those obtained from cluster analysis. In this paper the data are re-analyzed using correspondence analysis (CA). The advantage of using CA include a symmetric treatment of sensor coatings and analytes and better identification of the representation of the analytes in terms of the detection components. The results obtained by the conjunctive use of PCA, a varimax rotation and cluster analysis were obtained by CA.

Additional Material: 2 Ill.