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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Geochemistry is a discipline that mainly integrates aspects related to Chemistry and Geology, however, in South America it is only considered in the context of Geology courses. This book explores statistical methods and the geospatial nature of geochemical information, presenting a peculiar quantitative profile, using multivariate methods such as principal component analysis, discriminant analysis and regression analysis, which allows the geochemical background to be considered from this perspective, as well as establishing multiple associations that are related to local and regional mineral or geological processes. This type of analysis is essential for assessing potentially harmful environmental substances (PHES), determining thresholds and averages in water, sediment, soil and plant samples, as well as for land use planning and public health.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Geochemistry is a discipline that mainly integrates aspects related to Chemistry and Geology, however, in South America it is only considered in the context of Geology courses. This book explores statistical methods and the geospatial nature of geochemical information, presenting a peculiar quantitative profile, using multivariate methods such as principal component analysis, discriminant analysis and regression analysis, which allows the geochemical background to be considered from this perspective, as well as establishing multiple associations that are related to local and regional mineral or geological processes. This type of analysis is essential for assessing potentially harmful environmental substances (PHES), determining thresholds and averages in water, sediment, soil and plant samples, as well as for land use planning and public health.