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Fish HIS (habitat suitability index) modeling method based on SVM (support vector machine)

A support vector machine and fish habitat technology, applied in computer parts, character and pattern recognition, instruments, etc., can solve the problem of limited sample points of fishery resource data, the inability to eliminate multiple correlations of environmental elements, and the difficulty of ordinary methods, etc. question

Inactive Publication Date: 2015-07-29
SHANGHAI OCEAN UNIV
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Problems solved by technology

[0003] There is a dynamic interactive relationship between marine environmental elements and the central fishery and constitutes a complex system. There is usually a certain correlation between environmental elements. However, traditional mathematical statistical methods cannot eliminate the inherent multiple correlations of environmental elements when constructing an HSI model. , the accuracy of analysis and prediction is greatly limited
At the same time, due to the limitation of commercial fishing data, the number of sample points of fishery resource data is very limited to a large extent, and it is difficult to obtain effective models from it by ordinary methods

Method used

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  • Fish HIS (habitat suitability index) modeling method based on SVM (support vector machine)
  • Fish HIS (habitat suitability index) modeling method based on SVM (support vector machine)
  • Fish HIS (habitat suitability index) modeling method based on SVM (support vector machine)

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Embodiment Construction

[0050] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0051] Such as figure 1 As shown, a fish habitat suitability index modeling method based on support vector machine includes the following steps:

[0052] 1) First select the commercial fishing data of the research sea area for many years (greater than 3), and merge the fishery data on a monthly basis;

[0053] 2) Obtain marine environmental data in the study area, including sea surface temperature (SST) and sea surface height (SSH), and the area covered by the environmental data needs to completely coincide with the fishery data;

[0054] 3) The marine fishery commercial data and marine environmental data are gridded, and the range of each grid is 0.5°×0.5° latitude and longitude;

[0055] 4) Standardize the commercial fishing data by CPUE, which is the catch per unit fishing effort;

[0056] 5) calculate the suitability index SI correspon...

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Abstract

The invention relates to a fish HIS (habitat suitability index) modeling method based on an SVM (support vector machine). The method comprises the following steps that 1, the suitability index value SI corresponding to a group of ocean factors is solved by combining various ocean environment factors; 2, all ocean environment factors and the SI are subjected to normalization; 3, an SVM HSI model is built on the basis of data in the second step; 4, different regions are predicated by the SVM HIS, the predicated root-mean-square errors and the correlation coefficient are obtained, and the fishery fishing condition is forecasted in GIS (geographic information system) environment; 5, simulation results are output and stored. Compared with the prior art, the fish HIS modeling method has the advantages that when the sample quantity is smaller, rules in the data can be better mined, the more reasonable HIS model and the fishing condition forecasting result can be obtained, and the like.

Description

technical field [0001] The invention relates to a fish habitat index modeling method, in particular to a fish habitat suitability index modeling method based on a support vector machine. Background technique [0002] The Habitat Suitability Index (HSI) model was first proposed by American scientists in the 1980s to simulate the response of organisms to the surrounding habitat elements. At present, it has been widely used in the fields of species distribution and management, and has gradually been applied in the analysis and prediction of fish fisheries, and achieved good results. The research of HSI is not only to theoretically understand the relationship between fishery distribution and marine environmental elements, but also to provide information reference for fishing production and fishery resource managers. The HSI model has been applied to fishery analysis of various fish species, such as bigeye tuna in the Indian Ocean, squid in the Atlantic and Pacific Oceans, macke...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2411
Inventor 冯永玖方学燕陈新军
Owner SHANGHAI OCEAN UNIV
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