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Results5.2. CashFlow Scene Graph Examplesinserts the new data into MultiData node [1]. Again the process flow points into theopposite direction to the scene graph traversal as sketched in figure 5.8. The traversalof the scene graph is continued passing the second Separator node (S) and descendingto MultiData node [4]. The nodes [4][5][6] are only empty space holders registering totheir elements. Let’s switch back to the process flow diagram in figure 5.8. The Mappernode [7] accesses the DataAccess node [2] and reads the data stored in node [1]. Usingthat data the Mapper node generates the a spherical grid by inserting a new DataAccessmap to DataAccess node [5]. The generated DataAccess map points to node [4] werethe data is stored. Also the type of grid is stored in the Grid node [6]. Since a Gridnode can only store information for one grid we need three Grid nodes. The two othermapper nodes proceed the same way.Finally the traversal reaches the Render node [8]. Each Render node first requeststhe grid data from DataAccess node [5] and receives a DataAccess map pointing toMultiData node [4]. In figure 5.7 this is symbolized by the arrow, that starts at node[4] passes node [5] and ends to node [8]. The Render node also needs the topologyinformation stored in the Grid node [6]. Same goes for the other Render nodes that arelinked to the other Grid nodes. The process flow diagram in figure 5.8 emphasizes thisprocedure also. The color map is generated on–the–fly by the Render nodes. Thiscolor map could also be created only once by another Mapper node, but this wasavoided to keep figure 5.7 as simple as possible.Applied Visualization TechniquesAfter resuming the base concepts of CashFlow some more evolved visualizations arediscussed now in detail. We will extend the scene graph from figure 5.7 on page 106.First we will create the color map only once and link all render nodes to it. Second wewill generate a height field from the raw data using another Mapper node and third wewill apply the color map to the height field. Figure 5.9 shows the resulting image intop view while in figure 5.10 the scene is rendered in side view to emphasize the heightfields.The bottom row consists of three planes in spherical, polar and Cartesian coordinateswith the color map generated from the sample values. The middle row shows thesame coordinate systems without the color map but with a height field from the samedata used from the color map. In the top row both height maps and color maps arecombined. due to the used color map low values are mapped to green, medium valuesare mapped to yellow and high values are mapped to red.In the last section we used a linear color mapping for regular grids in figure 5.10and figure 5.9.More examples with real data are presented in figure 5.11 on page 109. This is a2D flow field passing a block moving from left to right. The used grid is a rectilineargrid, which is very dense around the block. In figure 5.12 color maps are applied toplanes in 3D. The used data set is the space shuttle data set from NAS NASA 1 . Coloris mapped to total energy.1 dataset from NASA at: http://www.nas.nasa.gov/Research/Datasets/data_sets.html [NAS05]107
Results5.2. CashFlow Scene Graph ExamplesFigure 5.9: CashFlow Cartesian, polar and spherical grids I(top view)Figure 5.10: CashFlow Cartesian, polar and spherical grids II108
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D I P L O M A R B E I TCash FlowA V
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KurzfassungDie Fusionierung von Vis
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3.7.2 Drawback of the Virtual Array
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Introductionis then executed using
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Related WorkAll of these frameworks
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Related Work2.1. Data Flow Models2.
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Related Work2.2. Flow Visualization
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Chapter 3Software Design3.1 CashFlo
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Software Design3.1. CashFlow Visual
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Software Design3.2. Using the Scene
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Software Design3.3. Indirect Refere
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Software Design3.4. Using Virtual A
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Software Design3.4. Using Virtual A
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Software Design3.6. MultiData NodeT
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Software Design3.7. DataAccess Node
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Page 137 and 138: Bibliography[3D] Java 3D. Java 3D c
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