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Hi Rick, > today's question is about projections. in the app i'm working on, data > are represented in different dimensions -- 2D for a surface map of model > results, 3D for a snapshot of what's going on underground, 4D for the > time series of snapshots. > > by using getSamples() to extract the data points, i can map one onto > another; iterating through the various float[][]s. it occurs to me, > however, that this violates the efficiency rule of VisAD (cf. the > Developer's Guide, section 3.9). Actually, for loops over float[][] arrays are what VisAD does inside its methods, and are as efficient as possible. In fact, my tests indicate that Java is just as fast as C for this sort of code. The VisAD efficiency rule is really about avoiding invoking methods once per datum. This means, for example, avoid calling FlatField.getSample() for each sample. But calling getSamples() and then looping over the float[][] or double[][] array is fine. > the question: is there a higher-level means for projecting, say, a 2D > map onto a surface of a 3D dataset? the developer's guide shows an > example of subtracting FlatFields, but they had the same number of > dimensions... Currently, the easiest and fastest way to do this kind of thing is by manipulating float[][] and double[][] arrays. By the way, if you come up with a way to save a DisplayImplJ3D scene as a VRML file, we'd love to distributed that as part of VisAD. That would be very useful. Cheers, Bill ---------------------------------------------------------- Bill Hibbard, SSEC, 1225 W. Dayton St., Madison, WI 53706 hibbard@xxxxxxxxxxxxxxxxx 608-263-4427 fax: 608-263-6738 http://www.ssec.wisc.edu/~billh/vis.html
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