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Research analysis of data-driven submarine navigation adaptation zones based on factor analysis
- 1 Liaoning Technical University
- 2 Liaoning Technical University
- 3 Liaoning Technical University
- 4 Liaoning Technical University
- 5 Liaoning Technical University
* Author to whom correspondence should be addressed.
Abstract
The study of gravity anomaly adaptation zones holds significant importance in resource exploration, environmental studies, and marine development. This paper initially collected and preprocessed data on gravity anomalies, dividing them into 16 sub-regions. Subsequently, five statistical parameters of gravity field characteristics—standard deviation, roughness, gradient, gravity entropy, and planar correlation—were introduced, and factor analysis was employed to compute scores for each area. Finally, MATLAB software was utilized to construct a three-dimensional distribution map of gravity anomaly values. The results indicate that factor analysis demonstrates promising applications in the research of data-driven submarine navigation adaptation zones.
Keywords
gravity anomalies, factor analysis, MATLAB
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Cite this article
Chen,Q.;Guang,J.;Zhang,L.;Zhang,Y.;Liu,S. (2023). Research analysis of data-driven submarine navigation adaptation zones based on factor analysis. Advances in Operation Research and Production Management,1,5-14.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Journal：Advances in Operation Research and Production Management
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