A sample point data refinement method and system
A data refinement and sample point technology, applied in the field of data processing, can solve problems affecting the accuracy and accuracy of sample point data analysis results, increase the uncertainty of sample point data analysis, and not consider the poor representativeness of sample points, etc., to achieve Save the cost of supplementary sampling in the field, improve representativeness and unbiasedness, and reduce uncertainty
Active Publication Date: 2022-03-01
北京市农林科学院信息技术研究中心
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Problems solved by technology
Without considering the sample point weight adjustment mode, the representativeness of the sample point will be poor, and the weight of the static weight setting mode will not change with the change of the sample point state, resulting in deviations in the analysis results
The above two scenarios will increase the uncertainty in the sample point data analysis process, which will affect the precision and accuracy of the sample point data analysis results
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[0033]In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0034] It should be noted that, in the description of the embodiments of the present invention, the terms "comprising", "comprising" or any other variant thereof are intended to cover a non-exclusive inclusion, so that a process, method, article or device comprising a series of elements Not only those elements are included, but also other elements not expressly listed or inherent in such proce...
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The present invention provides a sample point data refinement method and system, comprising: according to the Thiessen polygon area and the average sampling area where each sample point in the sampling area is located, determine the sample mean line, sample sparse line and sample aggregation line; and then Determine the sample type of each sample point; determine the data weight adjustment amount of each sample point according to the sample type; according to the data weight adjustment amount of each sample point, perform weight adjustment on the data of each sample point to generate a sampling area Refined data of sample points. The sample point data refinement method and system provided by the present invention can determine the type of each sample point, and then carry out weight adjustments for different types of sample point data, so as to improve the representativeness and unbiasedness of the sample point data, which not only saves It reduces the cost of supplementary sampling in the field, and reduces the uncertainty caused by the sparse distribution and aggregation of sample points, ensuring the accuracy and reliability of sample point data analysis and evaluation.
Description
technical field [0001] The invention relates to the technical field of data processing, in particular to a sample point data refinement method and system. Background technique [0002] Spatial sampling survey is the basis for agricultural soil heavy metal pollution monitoring and investigation, classification and prevention, and pollution supervision. The spatial distribution of sample points is a key factor in the detection and evaluation of sample point data, and it is also an important basis for the accuracy of later data analysis results. [0003] The spatial distribution of sample points presents three patterns: clustered distribution, uniform distribution and sparse distribution. Aggregate distribution refers to the spatial distribution pattern in which the sample points are distributed in an aggregated manner, uniform distribution refers to the spatial distribution pattern in which the sample points are distributed uniformly in space, and sparse distribution refers t...
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IPC IPC(8): G06T11/20G06T11/60
CPCG06T11/203G06T11/206G06T11/60
Inventor 董士伟潘瑜春周艳兵吴亚楠唐柜彪李晓岚
Owner 北京市农林科学院信息技术研究中心