ESSIS: International space year conference on Earth and Space Science Information Systems
Mikhail A. Popov · AIP conference proceedings · 1993
Our ability to accommodate Space Science Information will depend upon improved capabilities for collecting, processing, analyzing, and understanding large volumes of inter‐disciplinary data. Consequently, in frames of studies of outreach opportunities for education, new ways of classification for Space Sciences and related disciplines must be developed. It is a very important problem for the understanding of global processes and predicting the future developments for space sciences. As an example, new heuristic classification of gravitational and microgravitational space studies and disciplines, using sketch theory of COHN‐LAWVERE‐EHRESHMANN, is described.