Method and system for performing peculiar value processing on soil nutrient test data

A technology for testing data and soil nutrients, which is applied in soil material testing, measuring devices, and analytical materials, etc., can solve problems affecting the calculation of variation function, distortion of experimental semivariance function, and cover up variable spatial structure characteristics, etc., to achieve a good spatial variation function Fitting effect, ideal result

Inactive Publication Date: 2018-03-06
HUBEI UNIV
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Problems solved by technology

[0003] To sum up, the problem existing in the existing technology is: the existence of outliers in geostatistics based on the regionalized variable theory seriously affects the calculation of the variation function, which makes the experimental semivariance function distorted, and even conceals the inherent characterist

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  • Method and system for performing peculiar value processing on soil nutrient test data
  • Method and system for performing peculiar value processing on soil nutrient test data
  • Method and system for performing peculiar value processing on soil nutrient test data

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Embodiment Construction

[0022] In order to further understand the content, features and effects of the present invention, the following examples are given, and detailed descriptions are given below with reference to the accompanying drawings.

[0023] The structure of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0024] The embodiment of the present invention provides a method for performing outlier value processing on soil nutrient test data, which uses a neighboring point data comparison method to perform outlier value processing on soil nutrient test data.

[0025] Specifically include:

[0026] S101: Combining the conventional statistical features with the spatial position relationship, when judging whether the sample point data is suspicious, in addition to comparing the data with ā plus or minus three times the standard deviation, the data should also be compared with the surrounding 8 points data for comparison.

[0027] S102: If the...

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Abstract

The invention belongs to the field of peculiar value processing technology and discloses a method and a system for performing peculiar value processing on soil nutrient test data. According to the method for performing peculiar value processing on the soil nutrient test data, a proximal point data comparison method is utilized to perform peculiar value processing on the soil nutrient test data, and advantages and disadvantages of four peculiar value recognition and processing methods, namely a 3-sigma criterion, an estimation neighborhood method, an influence coefficient method and the proximal point data comparison method are subjected to comparative analysis. The result indicates that the proximal point data comparison method achieves a good effect on peculiar value processing performedon the soil nutrient test data and has a positive effect on improving the precision of a geostatistical research result.

Description

technical field [0001] The invention belongs to the technical field of singular value processing, and in particular relates to a method and system for performing singular value processing on soil nutrient test data. Background technique [0002] At present, geostatistics based on regionalized variable theory is the best method to study natural phenomena with both randomness and structure, but the existence of outliers seriously affects the calculation of variogram, and the deviation of variogram calculation is undoubtedly It greatly affects the optimal unbiasedness of the geostatistical research results and the accuracy of the theoretical model of the variogram, which makes the experimental semi-variance function distorted, and even conceals the inherent spatial structure characteristics of the variables. In the study of soil nutrient spatio-temporal variation, it is found that the original experimental data often have a "long tail" or skewed distribution, mainly because the...

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Application Information

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IPC IPC(8): G06F17/18G01N33/24
CPCG01N33/24G01N2033/245G06F17/18
Inventor 李中元
Owner HUBEI UNIV
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