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Equivalence Assessment of Multiple Datasets by Quantile–Value Diagram (QVD) for Detection of Significant Shifts (Case Study: Geochemical Datasets from Hanza Region, Kerman, Iran) by A. Habibnia; Gh. R. Rahimipour; H. Ranjbar is a Earth and Planetary Sciences article available to read on EtoBox.

What is Equivalence Assessment of Multiple Datasets by Quantile–Value Diagram (QVD) for Detection of Significant Shifts (Case Study: Geochemical Datasets from Hanza Region, Kerman, Iran) about?

The purpose of equivalence assessement is to recognize a significant shift between values of the same variables (elements in geochemical surveys) in two datasets. To merge two or more independent datasets that are somehow linked together to create a new integrated dataset, the significance of the difference between datasets must be determined. Merging data originated from two or more geochemical surveys can be highly beneficial to establish geochemical maps with an increased resolution and/or a covered area. Different methods of sampling, preparation and analysis are being used in various geochemical surveys which have a major impact on the measurement of the concentration of elements, and there might be a systematic shift in the concentration of the same elements. Therefore, studying the presence of a significant shift between datasets, and leveling them as a pre-processing stage is essential to combine geochemical data and provide an integrated map of a few independent surveys. While combining datasets to provide integrated maps, not assessing the equivalence and leveling the datasets leads to invalid maps. Determining the equivalence assessment between datasets is done by differ

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Author

A. Habibnia; Gh. R. Rahimipour; H. Ranjbar

Publisher

International Academic Publishing Co (Nauka/Interperiodica); Pleiades Publishing; Pleiades Publishing Ltd (ISSN 0016-7029)

Published

2020

Language

EN

Field

Earth and Planetary Sciences (Physical Sciences)