Method, device, and electronic equipment for analyzing the anisotropy distribution law of geoscience information

Abstract

The application provides a method, device, and electronic equipment for analyzing the anisotropy distribution of geoscience information. The method includes: obtaining sampling values ​​of spatial sampling points in the research area; centering on any sampling point, by changing the azimuth angle, Under each azimuth, construct multiple elliptical windows with different equivalent radii and compression coefficients; for multiple elliptical windows under the same azimuth, according to the relative difference between the sample mean of all sampling points in the elliptical window and the preset classification threshold , select the optimal ellipse under the azimuth; calculate the singularity index of the sampling point in the center according to the optimal ellipse under various azimuths, the equivalent radius of the optimal ellipse, and the sample mean of all sampling points in the optimal ellipse , to obtain the anisotropic distribution law of the spatial sampling points in the study area. The method of this application can objectively, systematically and quantitatively reflect the different distribution patterns of geoscience information in different directions in space, and has good indication significance.

Description

technical field [0001] The present application relates to the field of geospatial data distribution pattern analysis, in particular, to a method and device, electronic equipment, and a computer-readable storage medium for analyzing the anisotropy distribution law of geoscience information. Background technique [0002] The singularity index (singularity) is used for spatial quantification through fractal and multifractal methods, and measures the huge accumulation of matter or the release of energy generated by matter in a relatively narrow time or space interval. [0003] The classical calculation method of the singularity index is obtained by the square window method, such as figure 1 shown. The estimation process is as follows: Take the geochemical sediment sampling point data as an example; the first step is to select any sampling point and define a series of square windows with this point as the geometric center: ε 1 ×ε 1 , ε 2 ×ε 2 ,...,ε i ×ε i . The second st...

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Problems solved by technology

[0006] The singularity index calculated by using an isotropic square window reflects the local isotropic and homogeneous geochemical distribution, while the actual spatial distribution of geochemical concentrations is affected by multi-phase and multi-directional geological activities and has anisotropy and Heterogeneity, that is, different distribution patterns in different directions, so the traditionally used singularity index calculation method based on an isotropic square window ignores the anisotropic local characteristics of geospatial data to a certain extent

[0007] However, the method of determining the singularity index by constructing a series of rectangular windows in different directions to calculate the maximum change trend in each direction takes into account the anisotropy of the change, but the described singularity still has directional characteristics, which is suitable for the directional distribution considered. This method ignores to some extent the different distribution patterns of geospatial data caused by different geological processes

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