Many studies on COVID-19 have been carried out, and it is interesting to apply methods and models to process the whole sequence of RNA. Similarity comparison of SARS-CoV-2 genomes plays a key role in naturally tracing its origin in scientific exploration, and further explorations are required. In this paper, an innovative of transformation from a 2D density matrix to 1D measuring vector is proposed based on the A5 module of the MAS for visualization. The core transformation projects whole RNA sequences of multiple coronaviruses in 2D matrices and then forms 1D measuring vectors on variant maps. The relationships of SARSCoV-2 genomes are compared by their similarity properties and genomic index of entropy quantities applied to classify relevant results into groups.