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Results5.6. Example for Parameterization5.6 Example for ParameterizationWhen dealing with data it is essential to be able to compare data sets. Independent ofthe origin of the data frequently the need arises to scale the data or shift the neutral axisor in general re–parameterize the data.CashFlow supports three basic types of interpolation namely (1)constant, (2)linearand (3) cubic interpolation [AH02a]. Several examples are combined in figure 5.20.Note, that the elevation is used to visualize the mapping. One color map generatedfrom the raw data is applied to all other visualizations.(raw) The raw data is used as input for all other renderings (a)–(e). Based on the rawdata a color map was created mapping blue and green to low regions and yellowand red to high regions.(a) shows the color map generated from the raw data.(b) Inverse mapping. Low input values are mapped to high output values and viceversa. Height field (b) is and inversion of height field (c).(c) Combination of cubical and constant parameterization. Cubical mapping is appliedto low values shown in blue and green while all high values in yellow andred are mapped to a constant value creating a plateau. Due to the cubic interpolationthe slope in the blue and green regions differ from the original data labeled[raw] in figure 5.20.(d)(e) Cubic mapping with different parameters. In (d) the peak is exaggerated and theslope at that point is quite steep compared to the original data [raw]. In (e) theincline at the peak is horizontal and smooth compared to the original data.While in figure 5.20 the same color map was used for all visualizations contrariwisefigure 5.21 shows color map’s created of each elevation set. To keep consistency theelevation set are labeled corresponding to figure 5.20. Comparing the color distributionof the elevation sets in figure 5.21 gives a good clue on how the original values labeledas [raw] are redistributed. It also eases the comparison of heights, because equal heightshave equal colors in figure 5.21. Especially the distribution of blue in low regions andred in high regions emphasize the results from the different mappings. In order to focuson the color distribution the surrounding boxes were disabled. Figure 5.21(f) shows anadditional mapping with a steep slope for low values and a horizontal angle at the peakfor high values.115
Results5.6. Example for ParameterizationFigure 5.20: CashFlow Constant, linear and cubic parameterization: A color map created from the rawdata was applied to all surfaces.Figure 5.21: CashFlow Constant, linear and cubic parameterization: A color map was created for eachheight field. Letters indicate corresponding data sets in this figure and figure 5.20. The color map in thisfigure is bound to the actual height. This image also shows that the surrounding grey box can be disabled.116
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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 Work2.1. Data Flow Modelspu
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Related Work2.1. Data Flow ModelsTh
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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 Design3.5. General CashFlo
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Software Design3.6. MultiData NodeT
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Software Design3.7. DataAccess Node
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Software Design3.8. Grid Nodealgori
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Software Design3.10. Render Nodes-
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Software Design3.12. User Interacti
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Chapter 4ImplementationFigure 4.1:
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Page 131 and 132: Appendix AField connection &TGS Mes
Page 133 and 134: DanksagungVielen Dank an meine Schw
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Page 137 and 138: Bibliography[3D] Java 3D. Java 3D c
Page 139 and 140: [CEI94] CEI. http://www.ceintl.com/
Page 141 and 142: [EYSK94] David S. Ebert, Roni Yagel
Page 143 and 144: [HP97] Hans - Christian Hege and Ko
Page 145 and 146: [MAY] MAYA. MAYA c○ by ALIAS c○
Page 147 and 148: [RBHC91] B. Lucas R. B. Haber and N
Page 149 and 150: [Tog02] Together. Borland R○ Toge
Page 151 and 152: [WJSV92] G. D. Montanaro William J.
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