Soil type merging and multiple regression-based soil manganese content prediction method

A technology of multiple regression and forecasting methods, which is applied in complex mathematical operations and other directions, and can solve problems such as parameter change restrictions

Active Publication Date: 2017-07-25
INST OF SOIL SCI CHINESE ACAD OF SCI
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However, this method is still a trend fitting method, and it is still subje

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  • Soil type merging and multiple regression-based soil manganese content prediction method
  • Soil type merging and multiple regression-based soil manganese content prediction method
  • Soil type merging and multiple regression-based soil manganese content prediction method

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[0083] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0084] The invention belongs to the analysis method for spatial prediction of soil properties in metrological soil science, and relates to the divide-and-conquer treatment of different spatial variation characteristics of soil trace elements in different soil types, and can analyze the discrete degree of spatial distribution of soil available manganese content Probe its spatial heterogeneity and be able to diagnose multicollinearity problems in local regression analysis through local regression analysis. Especially in the process of spatial prediction, a comprehensive prediction model is constructed by measuring the spatial distribution characteristics of soil available manganese content under different soil sampling densities.

[0085] The present invention has designed the soil manganese content prediction method based...

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Abstract

The invention relates to a soil type merging and multiple regression-based soil manganese content prediction method. The divide-and-conquer control of different spatial variation characteristics showed by soil trace elements in different soil types is involved; the spatial heterogeneity of the soil trace elements can be detected by analyzing a discrete degree of spatial distribution of effective manganese content of soil; the multicollinearity problem in local regression analysis can be diagnosed through the local regression analysis; and especially in a spatial prediction process, a comprehensive prediction model is built by measuring spatial distribution characteristics of the effective manganese content of the soil under the sampling densities of different soil samples.

Description

technical field [0001] The invention relates to a soil manganese content prediction method based on soil type merging and multiple regression, and belongs to the technical field of soil property prediction. Background technique [0002] As a trace element necessary for plant production, manganese (Mn) can directly participate in the photosynthesis of plant growth, act as an activator of various enzymes, and promote seed germination. The study of its content has very important soil science and biological significance. Whether the soil trace elements are deficient or not generally does not depend on the total content of its different forms, but depends on its effective content. The main form of manganese ion is Mn 2+ , Mn 3+ , Mn 4+ , The retention methods in the soil mainly include organic manganese, water-soluble manganese, substitutional manganese, mineral manganese and inorganic salts containing manganese. Scholars at home and abroad generally define exchangeable, wate...

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Application Information

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IPC IPC(8): G06F17/18
CPCG06F17/18
Inventor 宋效东元野吴华勇刘峰杨金玲张甘霖李德成赵玉国
Owner INST OF SOIL SCI CHINESE ACAD OF SCI
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