Sample point encryption method and system for sparse region
An encryption method and sample point technology, which are applied in the field of sample point encryption methods and systems in sparse areas, can solve problems such as the inability to achieve global optimality and the inability to accurately determine the spatial position of sample points, and achieve improved representativeness and unbiasedness. Guaranteed effect of accuracy and reliability
Active Publication Date: 2021-10-19
北京市农林科学院信息技术研究中心
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Problems solved by technology
[0004] The spatial position of the sample points cannot be accurately determined by randomly encrypted points; the encrypted point distribution based on the sample point data in the historical period is easily restricted by the spatial position of the historical sample points; and the encrypted point distribution based on the midpoint position of the Thiessen polygon edge cannot reach the global maximum. excellent
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[0043] 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.
[0044] 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 proc...
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The invention provides a sample point encryption method and system for a sparse region. The method comprises the following steps: determining a target sparse sample point and an encrypted sampling region thereof; discretizing the encrypted sampling area space, and determining a to-be-selected sample point subset; forming a sample point spatial layout by the to-be-selected sample points in each to-be-selected sample point subset and the original sample points, selecting an optimal sample point spatial layout from the sample point spatial layout, taking the to-be-selected sample points in the optimal sample point spatial layout as encrypted sample points, and performing sample point encryption processing on the sparse region; and iteratively executing the encryption processing step until the sparse sample points do not exist. According to the method, the target sparse sample points in the current sample point spatial layout are determined in sequence in an iteration mode, and the encrypted sample points related to the encrypted sampling area of the target sparse sample points are determined, so that the global optimality of the encrypted sample points in each iteration can be ensured, the representativeness and unbiasedness of the sample point data are effectively improved, and the accuracy and reliability of sample point data analysis and evaluation are ensured.
Description
technical field [0001] The invention relates to the technical field of data processing, in particular to a sample point encryption method and system in a sparse area. Background technique [0002] Soil sampling is an important means of investigating and monitoring regional soil pollution, and the spatial distribution of sample points is a key factor in the quality evaluation and mining analysis of sample point data. The spatial distribution of sample points generally presents three modes: aggregation distribution, uniform distribution and sparse distribution. Aggregated 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 to the spatial distribution pattern in which the sample points are sparsely distributed in space. The sparse distribution of samp...
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CPCG06F21/602
Inventor 董士伟潘瑜春唐柜彪吴亚楠郜允兵顾晓鹤金小花
Owner 北京市农林科学院信息技术研究中心