Analysis on marine environment monitoring data based on spatial vector genetic clustering
Shijun He · Transducer and Microsystem Technologies · 2012
A method based on genetic clustering of space vector is proposed for analyzing the multi-parameters data in marine environmental monitoring.The multi-parameters data of sampling points including temperature,salinity,pH and DO is clustered by this method,with the clustering results projected into feature space of environment monitoring parameters,the data analysis in the monitoring area can be intuitively analyzed then.The water quality condition can be known by analysis of data at certain time.The variable trend of seawater in monitoring area can be estimated,with analysis of clustering results for the sample data in different periods of time.By this way,not only the relevance between sampled data can be mined,but also analysis results can be displayed visually and clearly.