By Ernvik, Aron
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Instead, modules are created as objects, typically with SetInput() and GetOutput() methods. 3 3D graphics APIs Another possible approach is to skip a software layer and use a 3D graphics api such as OpenGL or DirectX directly. This, however, would greatly increase development time as the wheel would need to be reinvented many times, so to speak - several algorithms needed are already implemented and tested in all the available visualization packages. This approach is not very appealing! 2 Choice of software The Visualization Toolkit is free, contains a few hundred well implemented, well documented and tested modules and has working Python bindings.
Figure 7. Generating a CAPPI image. The output image is orthogonal to the paper. 3 The PCAPPI product The “p” is for pseudo. This product also generates data for some constant altitude, but values are extrapolated to extend the image beyond the left and right boundaries of the cappi sample area in Figure 71. e. the closest available data. In Figure 8, all the data in the right image that is absent in the left one has been extrapolated from the lowest elevation angle. The cappi image is an exact subpart of the pcappi image; more specifically, the centers of a cappi and a pcappi image from the same height look the same.
The data-flow is directed by connecting the modules together, hereby creating visualization pipelines. Each module’s parameters can be adjusted through a mouse-driven graphical user interface. There are modules for manipulating, transforming, processing, rendering and animating data. Most modules have one or more input pipes and one or more output pipes. The pipeline typically starts with a module that can read some data from a file. The following modules alter the data in different ways. The last module in the pipeline may be one that writes the modified data to a file or sends drawing commands to the underlying 3D graphics api.
3D visualization of weather radar data by Ernvik, Aron