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Method and device for constructing geographically weighted regression model for mineral exploration

A geographic weighting and regression model technology, applied in the field of mineral exploration, can solve problems such as inability to consider anisotropy, low precision of ore-controlling effect strength and spatial distribution analysis, and inability to objectively reflect the spatial distribution of complex geological process products. The effect of improving the accuracy of analysis

Active Publication Date: 2021-04-27
CHINA UNIV OF GEOSCIENCES (BEIJING)
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Problems solved by technology

[0003] Taking metallogenetic geological events as an example, due to the nonlinear characteristics of the metallogenic process, such as complexity, anisotropy, irreversibility, and self-similarity, the traditional geographically weighted regression model believes that sampling points at equal distances from the regression point have an important influence on the regression point. With the same influence, it cannot objectively reflect the complex geological process and the spatial distribution of its products, and cannot consider the anisotropy characteristics of various geological elements related to ore-forming. The analysis accuracy is low, which affects the accuracy of mineral exploration

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  • Method and device for constructing geographically weighted regression model for mineral exploration
  • Method and device for constructing geographically weighted regression model for mineral exploration
  • Method and device for constructing geographically weighted regression model for mineral exploration

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[0074] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making...

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Abstract

The invention provides a method and device for constructing a geographically weighted regression model for mineral exploration, and the method comprises the steps of selecting a target sample point in a target work area to construct a plurality of ellipse screening regions, carrying out the fitting of the attribute features of the target sample point and the corresponding mineralization through employing a weighted least square method, and obtaining a plurality of to-be-determined geoweighted regression models corresponding to a target sample point; and selecting the to-be-determined geoweighted regression model corresponding to the minimum residual sum of squares as an optimal geoweighted regression model, so that by taking mineral exploration based on geochemical data of water system sediments as an example, the influence of anisotropy characteristics of various geological elements related to mineralization can be represented, the complex geological process and the spatial distribution of products of the complex geological process can be objectively reflected, and the analysis precision of mineral exploration can be improved.

Description

technical field [0001] The invention relates to events and processes with anisotropic characteristics in the technical field of mineral exploration, in particular to a method and device for constructing a geographically weighted regression model for mineral exploration. Background technique [0002] In the process of mineralization and mineral resource exploration, the Geographically Weighted Regression (GWR) analysis model (Geographically Weighted Regression, GWR) is often used to perform local weighted least squares regression on a small number of samples in a given area to estimate the local relationship between geographical variables. Reveal detailed changes in localized areas. [0003] Taking metallogenetic geological events as an example, due to the nonlinear characteristics of the metallogenic process, such as complexity, anisotropy, irreversibility, and self-similarity, the traditional geographically weighted regression model believes that sampling points at equal di...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/02
CPCG06Q10/067G06Q50/02
Inventor 赵洁王文磊崔柳阳王文君
Owner CHINA UNIV OF GEOSCIENCES (BEIJING)
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