Introduction |
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1 | (9) |
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PART I Nature of the Problem |
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Bridging the Worlds of CAD and GIS |
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9 | (30) |
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10 | (4) |
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Problems when Bridging the Gap between CAD and GIS |
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11 | (2) |
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13 | (1) |
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Case Studies Integrating CAD and GIS |
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14 | (9) |
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14 | (1) |
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Example 1: Hubertus Tunnel |
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14 | (1) |
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Example 2: Cycle Tunnel, Houten |
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14 | (2) |
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16 | (1) |
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Example 1: Bridge Amsterdam-Rijnkanaal near Utrecht |
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16 | (1) |
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17 | (1) |
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18 | (1) |
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Example 1: 3D Cadastral Parcel |
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18 | (1) |
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18 | (3) |
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21 | (1) |
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Example 1: Augmented Reality |
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21 | (1) |
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Example 2: Disaster Management |
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22 | (1) |
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Analyzing the Open Issues when Bridging the Gap between GIS and CAD |
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22 | (1) |
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Conversions and Multiple Representations |
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23 | (3) |
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Conversions between and within GIS |
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23 | (1) |
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Conversions between and within CAD |
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24 | (1) |
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Functional and Thematic Semantic Aspects |
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25 | (1) |
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25 | (1) |
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Framework for Bridging the Gap between GIS and CAD |
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26 | (6) |
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27 | (2) |
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Formal Geometry Semantics in the GIS Domain |
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29 | (2) |
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Formal Geometry Semantics in the CAD Domain |
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31 | (1) |
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Integrated Data Management |
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31 | (1) |
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32 | (7) |
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33 | (1) |
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33 | (2) |
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Appendix A: Differences between CAD and GIS |
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35 | (4) |
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PART II Data Handling and Modeling |
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3D Data Acquisition and Object Reconstruction for AEC/CAD |
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39 | (18) |
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39 | (1) |
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3D Building Reconstruction Approaches |
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40 | (12) |
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Image-Based 3D Data Acquisition |
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41 | (1) |
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41 | (3) |
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Single (or Monoscopic) Image Based |
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44 | (2) |
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46 | (1) |
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Point Cloud-Based Approaches |
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47 | (1) |
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47 | (1) |
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48 | (1) |
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3D Building Reconstruction |
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48 | (1) |
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49 | (3) |
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52 | (1) |
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53 | (4) |
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53 | (1) |
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54 | (3) |
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Three-Dimensional Representations and Data Structures in GIS and AEC |
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57 | (30) |
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Introduction: A Case for GIS/AEC Integration |
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58 | (3) |
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61 | (3) |
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Characteristics of Geo-Scientific Data |
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62 | (1) |
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Noise, Errors, and Data Uncertainty |
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63 | (1) |
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64 | (1) |
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Surface Modeling in 3D GIS |
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65 | (5) |
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Volume Modeling in 3D GIS |
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70 | (6) |
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71 | (1) |
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Boundary Representations Using Iso-Surfaces |
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71 | (1) |
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Boundary Representations Using Discrete Smooth Interpolation |
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72 | (1) |
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Boundary Representations Using 3D Component Modeling |
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73 | (1) |
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Spatial Occupancy Enumeration |
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74 | (2) |
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76 | (1) |
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Requirements for a Common 3D GIS/AEC Data Modeling Solution |
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76 | (1) |
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Inadequacies of CAD Systems for Geo-Scientific Modeling |
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77 | (1) |
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Extending 2D GIS Systems to Three Dimensions |
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78 | (1) |
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The Extended Simplex Model (ESM) |
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79 | (2) |
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A Solution for Integrated AEC/GIS Modeling |
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81 | (1) |
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Critical Analysis of the Extended Simplex Model |
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82 | (1) |
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82 | (5) |
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83 | (4) |
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87 | (30) |
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Geo-DBMS: Historical Development and State of the Art |
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88 | (1) |
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Benefits of Using DBMS for GIS and AEC Applications |
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88 | (4) |
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Providing DBMS Standard Functionality |
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88 | (1) |
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Extending the DBMS to a Geo-DBMS (2D and 3D) |
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89 | (1) |
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Geo-DBMS Models: Geometry vs. Topology |
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90 | (1) |
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Object-Relational vs. Object-Oriented DBMS |
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91 | (1) |
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92 | (11) |
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92 | (1) |
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Simple Nature-Formed Objects |
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92 | (1) |
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Complex Nature-Formed Objects |
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93 | (1) |
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93 | (2) |
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95 | (2) |
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97 | (1) |
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97 | (2) |
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99 | (2) |
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3D Spatial Access Methods |
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101 | (1) |
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3D Spatial Predicates, Functions, and Operations |
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102 | (1) |
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3D Extensions for Spatial Query Languages |
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102 | (1) |
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103 | (4) |
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3D Objects in Object-Oriented DBMS |
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103 | (2) |
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3D Objects in Object-Relational DBMS |
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105 | (1) |
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105 | (2) |
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107 | (1) |
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107 | (4) |
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AEC Case Study, ``Modeling the Interior of the Aula, the Congress Center of TUDelft'' |
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107 | (2) |
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GIS Case Study, ``3D Geological Modeling of an Open Cast Mine in the Lower Rhine Basin'' |
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109 | (2) |
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Summary and Outlook: Toward Bridging AEC and GIS |
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111 | (6) |
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113 | (4) |
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Interaction and Visualization of 3D City Models for Location-Based Services |
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117 | (22) |
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117 | (2) |
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Augmented Reality and Location-Based Service Projects |
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119 | (4) |
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119 | (1) |
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120 | (1) |
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121 | (1) |
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122 | (1) |
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LBS Architecture Used in LoVEUS |
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123 | (6) |
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123 | (3) |
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126 | (1) |
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126 | (1) |
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127 | (1) |
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Connection between Multimedia DB and GIS DB |
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128 | (1) |
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Handling of Three-Dimensional Visualizations |
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128 | (1) |
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129 | (1) |
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Creating and Transmitting a 3D Map to Mobile Devices |
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129 | (3) |
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132 | (1) |
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133 | (6) |
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134 | (5) |
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PART III Interoperability |
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Ontology and Semantic Interoperability |
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139 | (22) |
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139 | (1) |
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Languages and Communication Processes |
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140 | (1) |
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141 | (1) |
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142 | (4) |
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142 | (1) |
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Nonlogic-Based Ontologies |
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143 | (1) |
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Meta-Standards vs. Reference Ontologies |
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144 | (1) |
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145 | (1) |
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145 | (1) |
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Standards and Reference Ontologies for Spatial Information Systems |
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146 | (6) |
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Spatial Data Standards and Their Limitations |
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146 | (1) |
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Standards for the Spatial Component |
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147 | (3) |
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Limitations of Today's Data Standards for CAD, AEC, and GIS Integration |
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150 | (2) |
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Reference, Domain, and Top-Level Ontologies |
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152 | (4) |
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Domain Ontologies as Reference Ontologies |
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152 | (1) |
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153 | (1) |
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Important Components of Top-Level Ontologies |
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154 | (1) |
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Top-Level Ontologies for CAD, AEC, and GIS Integration |
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155 | (1) |
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156 | (5) |
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157 | (1) |
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157 | (4) |
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Data Integration and Interoperability: OGC Standards for Geo-Information |
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161 | (16) |
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Introduction to the Problem |
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162 | (1) |
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163 | (1) |
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163 | (1) |
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The OGC Abstract Specification |
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163 | (1) |
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How Current OGC Standards Can Be Used for CAD/GIS Integration |
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164 | (5) |
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Seamless Visualization: Web Map Service Interface Specification |
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165 | (1) |
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Returning CAD/GIS Content to the Client -- The Web Map Service Interface Specification |
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165 | (1) |
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Specifying Portrayal Rules |
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166 | (1) |
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The Web Terrain Service Interface Specification |
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167 | (1) |
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Communicating and Transporting CAD/GIS Content in an Open, Interoperable Manner: Geography Markup Language (GML) 3.1 |
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168 | (1) |
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LandGML ←→ LandXML: An example of CAD/Survey/GIS Content Sharing that Maintains Semantic Integrity |
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169 | (2) |
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170 | (1) |
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The LandXML ←→ LandGML Interoperability Experiment |
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170 | (1) |
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LandXML ←→ LandGML Demonstration |
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171 | (1) |
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Putting a Standards-Based CAD/GIS Workflow in Place |
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171 | (3) |
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174 | (3) |
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174 | (3) |
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3D Topological Framework for Robust Digital Spatial Models |
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177 | (34) |
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178 | (1) |
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179 | (1) |
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179 | (2) |
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179 | (1) |
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180 | (1) |
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180 | (1) |
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180 | (1) |
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181 | (6) |
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Case 1. Rounding, Accuracy, and Resolution |
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181 | (1) |
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182 | (1) |
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Case 3. Geometric Equality |
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182 | (3) |
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Case 4. ISO 19107 Definition of isSimple() |
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185 | (1) |
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Case 5. Adjoining Polygon Points |
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186 | (1) |
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187 | (1) |
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187 | (2) |
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Topological Cleaning Operation |
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187 | (1) |
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188 | (1) |
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189 | (5) |
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Realm-Based Geometry and Topology |
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189 | (3) |
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Constraint Database Approach |
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192 | (1) |
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Region Connection Calculus |
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193 | (1) |
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The Rational Polygonal Region |
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194 | (1) |
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194 | (9) |
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195 | (1) |
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195 | (1) |
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Regular Polytope Representation |
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196 | (3) |
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Operations on Regular Polytopes |
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199 | (1) |
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Regular Polytope Equality |
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200 | (1) |
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Dual Representation of Regular Polytope |
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200 | (3) |
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Data Storage Requirements |
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203 | (1) |
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Review of the Case Studies |
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204 | (2) |
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Case 1. Rounding, Accuracy, and Resolution |
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204 | (1) |
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204 | (1) |
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Case 3. ISO 19107 Definition of Equals |
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204 | (1) |
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Case 4. ISO 19107 Definition of isSimple() |
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204 | (1) |
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Case 5. Adjoining Polygon Points |
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204 | (1) |
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205 | (1) |
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206 | (1) |
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206 | (5) |
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206 | (1) |
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206 | (1) |
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Floating Point Representations |
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206 | (1) |
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Approximated Polytrope Representation |
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206 | (2) |
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Lower Dimensionality Objects |
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208 | (1) |
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208 | (1) |
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208 | (3) |
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Virtual Geographic Environments |
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211 | (22) |
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211 | (6) |
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212 | (2) |
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214 | (2) |
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216 | (1) |
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The Multidimensional Representations |
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217 | (9) |
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219 | (1) |
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Visualization of Abstract and Thematic Information |
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220 | (1) |
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Time-Dependent Data Visualization |
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221 | (2) |
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LOD and View-Dependent LOD Models |
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223 | (2) |
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Image-Based Modeling and Rendering |
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225 | (1) |
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226 | (3) |
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227 | (1) |
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227 | (1) |
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227 | (1) |
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228 | (1) |
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229 | (4) |
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230 | (3) |
Index |
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233 | |