This paper presents and explores a technique for visually integrating and exploring diverse information. Researchers and
analysts seeking knowledge and understanding of complex systems have increasing access to related, but diverse, data. These data provide an opportunity to consider entities of interest from multiple informational perspectives not available from any single, data or information type. These multiple perspectives are derived from diverse, but related data and integrated for simultaneous ana
DOI: 10.1117/12.643492Current SPIE Digital Library subscribers
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