eugene@eos.arc.nasa.gov (Eugene Miya) (11/21/90)
Sorry, busy in your building Craig.
While the comments you make about visualization system requirements sound nice,
let me add the following. Many sciences are not teaching observational
skills in the course of graduate education. One thing I learned
while studying remote sensing was an interesting progression of observation:
this comes from Jack Estes which may have since been published in a paper:
Observation follows three phases (recursive).
Detection
Identification
Measurement and Analysis [sub-detection, id, M&A [...]]
Visualization as now conceived is okay for the serendipitous
detection of features by trained experts. This is okay, but
this phase WILL become boring. We will want to automate the process,
add feature recognition, and most importantly we will want to
quantitify what we now "see." It is the latter which is by far the most
important (and simple) thing to do. It's independent of any science,
they all do this, I have a neat quote by J.B.S. Haldane if you want to see
which supports this. It is the numeric which allows us to make models,
analyse, and attempt to predict. And of course, we must reconcil real
data as well as simulated data.
--e.n. miya, NASA Ames Research Center, eugene@eos.arc.nasa.gov
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