Series-2 (Mar. – Apr. 2023)Mar. – Apr. 2023 Issue Statistics
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Abstract: In continuation of a comprehensive guide to the characterization of the fluid geochemistry of Peninsular and extra-Peninsular hot springs, in the present study, the author illustrates multiple graph lines or weighted variables in a Google Excel sheet using the same data weighted by a weighting factor (the principal component loadings in this instance), which are nothing but the correlations between variables and factors. A weighting factor provides a weighted variable value for each observation in a data set. With the characteristic inverse phenomenon exhibited by multiple graph lines or factor weighted variables, the research affords a fascinating new insight into the origins of the two distinctive suites of fluid geochemistry of tectonically two diverse regions so close by yet so conspicuously distinctive.
Keywords: Variables, Data Set, Weighting Factor, Weighted Variables, Principal Component, Loadings, Peninsula, Extra-Peninsula, Correlations
[1]. Amitabha Roy, 2023Multivariate Geostatistical Modeling of Fluid Geochemistry in Peninsular and Extra-Peninsular India. J. Appl. Geol. & Geophys (ISOR-JAGG, V.11, Issue 2, Ser. I, pp. 11-22
[2]. Amitabha Roy, 2023. Regression Analysis of Multivariate Fluid Geochemical Data representing two distinct systems operative at the geothermal fields of Extra-Peninsular and Peninsular India J. Appl. Geol. & Geophys (ISOR-JAGG), V.11, Issue 2,Ser. I, pp. 01-10.
[3]. Amitabha Roy, 2023. A Comparative Statistical Study of Geochemistry of GeothermalFfields of Peninsular and Extra Peninsular India. J. Appl. Geol. & Geophys (ISOR-JAGG), V. 11, Issue I, Ser. II, pp. 32-44.