| Marine economy plays a very important role in promoting the economic and social development of all countries in the world.To master the basic information of marine economy in an all-round way is of great guiding significance for the scientific planning of the rapid development of marine economy.The State Council approved the first national marine economic survey in December 2012.The fir st national marine economic survey is a major national survey.Its goal is to grasp the basic situation of China's marine economy comprehensively and systematically and to improve the basic information of C hina's marine economy.To carry out the first national marine economic survey scientifically and effectively can lay a good foundation for scientific planning for the long-term development of marine economy and realizing the goal of building a powerful marine country.The data of marine economic survey ha ve the characteristics of multi-categories and multi-time and space.How to analyze the current situation of marine economic development in a certain area of our country,how to effectively predict the current development of marine economy in a certain area of our country,and how to effectively display the laws found in the data of marine economic survey are very important issues,which play an important role in bringing the survey data into play.Meaning and practical application value.According to the needs of Xiamen Marine Economic Survey,this paper deals with the marine data reported by investigators.These marine data information provide multi-temporal and multi-category data for relevant personnel to use.However,the original marine economic data a lone can not directly meet the needs of relevant personnel for grasping the economic situation and adjusting the economic layout,so corresponding calculations are needed.Computer algorithm is used to analyze the ocean economic data and visualize the ocea n economic data.By studying the existing spatial clustering algorithm and genetic algorithm,combined with the needs of Xiamen marine economic survey,this paper proposes a bottom-up grid clustering algorithm based on visual analysis of marine economic ho t spots and a genetic algorithm for marine economic data analysis,and applies it to Xiamen marine economic survey online display platform.The platform has been successfully deployed in Xiamen Institute of Oceanography and Fisheries.The main research contents are as follows:(1)Visual analysis of coastal economic development based on bottom-up grid clustering algorithm.Based on the data reported in the first national marine economic survey and combined with spatial geographic information,a bottom-up grid clustering algorithm for visualization of economic hot spots is proposed.The development of marine economy needs time accumulation,not overnight achievement.Therefore,the better developed regions prove that they still have a good development trend in the time range of their neighbors.Through the changes of different scales,we can effectively analyze which regions still have development potential and which regions can be driven by the regions with better development of their neighbors.The innovatio n of this algorithm lies in building hierarchical queues from bottom to top,using hierarchical queues to solve the time performance problem of clustering on different scales,improving the accuracy of hierarchical reduction algorithm,and putting forward corresponding visualization algorithm to provide support,introducing economic indicators to cluster economic data on the basis of the original algorithm.Through this algorithm,the development of marine economy in Xiamen is analyzed effectively,which provides algorithm assistance for online display platform of Xiamen Marine Economic Survey.(2)Marine economic industry prediction based on genetic algorithm.Although the bottom-up grid clustering algorithm can effectively analyze the development of marine economy,due to the lack of strong time correlation,the development of the same region at a certain time can not fully explain that the local economy must be growing continuously,so it can not meet the trend forecast.In order to solve this problem,this paper puts forward the prediction of marine economic industry based on genetic algorithm.At the same time,it puts forward the global iteration factor and the local iteration factor.It combines the traditional genetic algorithm to predict the time series,and compares the improved algorithm with the differential evolution algorithm and the particle swarm optimization algorithm.It is found that the accuracy of the improved algorithm is better than the above-mentioned algorithm.This method can effective ly predict the economic changes in the next few months,with an accuracy of more than 95%.The greater the amount of data,the better the prediction effect.(3)Xiamen Marine Economic Survey Online Display Platform.Aiming at the demand of Xiamen area in the first national marine economic survey,an online display platform of Xiamen marine economic survey was developed.The function modules of thermal visualization analysis and trend analysis in this platform are mainly based on the visualization analysis o f economic hot spots based on bottom-up grid clustering algorithm and the prediction of marine economic industry based on genetic algorithm,which can effectively visualize and predict the economic situation of Xiamen.Firstly,the platform collects and filters the data from the first marine economic survey and carries on the analysis,establishes four databases such as the results database,the thematic database and the shared database,and stores the data.By extracting the corresponding economic data information,the platform realizes the integration of economic analysis,economic prediction and various marine information based on the Server service provided by Arc GIS.Display the assistant decision-making platform. |
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