A Modeling Method for Space Vector Data Based on Data Complexity

A technology of space vector and modeling method, applied in the field of space vector data calculation, can solve the problems of reducing data transmission time, low data calculation and analysis efficiency, and space vector data easy to produce barrel effect, etc., so as to improve calculation efficiency and reduce broadcast ) time, the effect of avoiding the barrel effect

Active Publication Date: 2021-03-23
杨军
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Problems solved by technology

[0004] The purpose of the present invention is to provide a modeling method of space vector data based on data complexity, to solve the problem that space vector data is prone to barrel effect, reduces data transmission time, and has low efficiency of data calculation and analysis

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  • A Modeling Method for Space Vector Data Based on Data Complexity

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Embodiment

[0022] Such as figure 1 As shown, a modeling method of space vector data based on data complexity includes the following steps:

[0023] S1: Create a space vector dataset;

[0024] S2: Calculating the uniformity of space vector data, first according to the formula PH=ΣNi / J (PH: average uniformity, Ni: the complexity of the i-th spatial object, which is the attribute of the space vector data itself, which can be directly obtained by those skilled in the art, J : the number of spatial objects, which can be directly obtained by those skilled in the art) to calculate the average uniformity value of the original data, and then substitute the PH value into the formula PHi=Ni / PH (Ni: the i-th spatial object complexity, PHi: the i-th space Object deviation value) is calculated to obtain the space object deviation value of the original data, and the inhomogeneity of the original data is found through the above calculation of the complexity of the original data.

[0025] S3: preset an...

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Abstract

The invention discloses a space vector data modeling method based on data complexity. The space vector data modeling method comprises the following steps: establishing a space vector data set; calculating the space vector data uniformity, obtaining a space object deviation value according to formulas PH = sigma Ni / J and PHi = Ni / PH, and discovering the inhomogeneity of the original data and the contradiction between the total amount of data and the number of distributed calculation nodes; carrying out segmentation processing, traversing the vector data set, and if PHi is greater than M and M is an initial value (M = 1.00), carrying out horizontal distribution and segmentation processing on the space object by using Ni = F (PHi), (F (PHi): space object segmentation algorithm) and preprocessing software to improve the data uniformity; establishing a distributed spatial database; and carrying out common indicator efficiency contrast test. According to the method, the granularity of the original data is re-divided through the proposed space vector data uniformity model, so that the reasonable uniformity required by distributed calculation is achieved, the cask effect is avoided, the data transmission (broadcasting) time is shortened, and the calculation efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of space vector data calculation, in particular to a modeling method of space vector data based on data complexity. Background technique [0002] The distributed database distributes the data stored centrally to several nodes for storage, and through parallel computing, completes the data processing on several nodes at the same time, solving the I / O throughput bottleneck of the centralized architecture and the inefficiency caused by single-point computing. In non-spatial information databases, each field of each record is composed of some numbers and texts, the data volume is relatively uniform, and the calculation efficiency is very high, and the calculation efficiency is basically linearly proportional to the nodes, so the distributed architecture has become the current big data computing mainstream technology. [0003] Since all information has time and space attributes, geospatial information, as a natu...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/21G06F16/27
CPCG06F16/212G06F16/27
Inventor 杨军
Owner 杨军
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