Identification of mineralization in geochemistry along a transect based on the spatial curvature of log-ratios

12/05/2019
by   Dominika Mikšová, et al.
0

Detecting subcropping mineralizations but also deeply buried mineralizations is one important goal in geochemical exploration. The identification of useful indicators for mineralization is a difficult task as mineralization might be influenced by many factors, such as location, investigated media, depth, etc. We propose a statistical method which indicates chemical elements related to mineralization along a transect. Moreover, the method determines along a transect the potential area of the deposit. The identification is based on General Additive Models (GAMs) for the element concentrations across the spatial coordinate(s). The log-ratios of the GAM fits are taken to compute the curvature, where high and narrow curvature is supposed to indicate the mineralization area. By defining a measure for the quantification of high curvature, the log-ratios can be ranked, and elements can be identified that are indicative of the anomaly patterns.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/23/2020

A method to identify geochemical mineralization on linear transect

Mineral exploration in biogeochemistry is related to the detection of an...
research
10/11/2005

A decision support system for ship identification based on the curvature scale space representation

In this paper, a decision support system for ship identification is pres...
research
05/19/2016

Computation of the Similarity Class of the p-Curvature

The p-curvature of a system of linear differential equations in positive...
research
04/30/2013

The Logarithmic Curvature Graphs of Generalised Cornu Spirals

The Generalized Cornu Spiral (GCS) was first proposed by Ali et al. in 1...
research
06/22/2021

Gait analysis with curvature maps: A simulation study

Gait analysis is an important aspect of clinical investigation for detec...
research
03/23/2020

Entropy as a measure of attractiveness and socioeconomic complexity in Rio de Janeiro metropolitan area

Defining and measuring spatial inequalities across the urban environment...

Please sign up or login with your details

Forgot password? Click here to reset