Space complexity based mapsheet sampling method

A technology of space complexity and sampling scheme, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of lack of sample space layout, unstable sampling model, etc., achieve strong credibility and ensure spatial representation sexual effect

Active Publication Date: 2015-08-05
TONGJI UNIV
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Problems solved by technology

These studies combined spatial data and error theory to propose a new method, but there are also instability in the sampling model and lack of consideration of the specific spatial layout of the sample.

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  • Space complexity based mapsheet sampling method
  • Space complexity based mapsheet sampling method
  • Space complexity based mapsheet sampling method

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Embodiment Construction

[0039] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0040] The map frame in this method is defined as the smallest unit of result storage formed by spatial data through various operations such as collection, production, editing, and mapping, such as the global standard frame, the national 1:1 million standard frame, etc.; if not specified The framing rules can be replaced by geographic divisions and administrative boundaries, such as continents, countries, and cities. Map frame sampling is aimed at spatial data results, using the map frame as the sampling unit, the sampling plan adopts the sampling model to determine the sample size, a...

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Abstract

The invention relates to a space complexity based mapsheet sampling method. The method comprises a first step of acquiring overall prior information of mapsheet data sampling; a second step of acquiring a sample size of a mapsheet sampling scheme according to a probability statistics theory and the prior information; a third step of acquiring global kernel density estimation parameters of each mapsheet; a fourth step of acquiring the effective area ratio parameter of each mapsheet; a fifth step of according to the global kernel density estimation parameters, the effective area ratio parameter and the sample size of the mapsheet sampling scheme, performing layered mapsheet sampling based on the space complexity; and a sixth step of further performing sample arrangement and adjustment and outputting a result. Compared with the prior art, the method breaks the limitation that a conventional sampling method does not take the spatial relationship of a sample object into account and lacks a unified sample size quantitative model, and realizes quantitative estimation of the sample size by adopting a probability statistics based sample model; the sample arrangement method takes the spatial complexity character and distribution of the sample object into account, and guarantees the spatial representativeness of the sample.

Description

technical field [0001] The invention relates to a frame sampling method, in particular to a frame sampling method based on space complexity. Background technique [0002] Sampling inspection can provide reliable information for product quality management and is a basic means of quality control. Traditional sampling methods include: simple random sampling, stratified sampling, systematic sampling and cluster sampling, and the sampling objects are simple one-dimensional homogeneous data. As a kind of spatial data, surveying and mapping products have the characteristics of massive, multi-dimensional, and heterogeneous. Traditional sampling inspection methods have obvious deficiencies in the face of complex spatial data, such as the lack of a unified sampling model and the lack of space for data. Expression and use of information. In response to this problem, some scholars have improved traditional sampling methods and sampling models. For example, Duarte and Saraiva proposed ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 童小华谢欢孟雯王振华刘世杰陈鹏张松林
Owner TONGJI UNIV
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