Space sampling method oriented to multisource marine environmental monitoring data

Abstract

The invention provides a space sampling method oriented to multisource marine environmental monitoring data. According to the space sampling method oriented to the multisource marine environmental monitoring data, firstly spatial position information of marine environmental monitoring data is extracted, and standarlization processing is carried out on the attribute information of the multisource marine environmental monitoring data; then, the spatial autocorrelation coefficients among all marine environmental monitoring stations are calculated by using a spatial variation function (Kriging), therefore, a traditional system sampling method is optimized, and a new space sampling method suitable for the multisource marine environmental monitoring data is provided; finally, the efficiency of the new space sampling method is checked through square deviation comparison and trend-surface analysis. According to the space sampling method oriented to the multisource marine environmental monitoring data, the special correlation and variability among the marine environmental monitoring data are fully taken into consideration. The method achieves the facts that sampling points are evenly distributed in examination areas and information redundancy can be reduced while the sampling precision can be guaranteed, the method can be applied to marine environmental monitoring work effectively, and theoretical foundation is provided for layout of key points of monitoring stations. The effectiveness of the method is verified by using the attribute information of certain sea area monitoring points as demonstration objects.

Description

Technical field [0001] The invention belongs to the marine field, the computer field and the geographic science field, and in particular relates to a spatial sampling method for multi-source marine environmental monitoring data. The method can make the monitoring sample points evenly distributed in the entire monitoring area, ensuring sampling accuracy while reducing The redundancy of information can be effectively used in marine environmental monitoring and provide a theoretical basis for the deployment of key points of monitoring sites. Background technique [0002] At present, all countries are paying more and more attention to the development and construction of the marine field, and the marine economy has made considerable progress. At the same time, the marine environment is seriously polluted, biological resources are severely damaged, and marine disasters occur frequently. Therefore, the monitoring of the marine environment has become the focus of attention. [0003] Due ...

AI Technical Summary

Problems solved by technology

The systematic sampling method is one of the classical sampling methods, and it is difficult to select the step size

In view of the above problems, this patent proposes a spatial sampling method for marine environment monitoring data. This method uses the spatial variation function to give the critical value of spatial variation of marine data, which solves the problem of difficult step size design in classical system sampling. Make the sample points evenly distributed in the research area, and reduce the redundancy of information while ensuring the sampling accuracy

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