3D Geoinformation Science: The Selected Papers of the 3D by Martin Breunig, Mulhim Al-Doori, Edgar Butwilowski, Paul V.

By Martin Breunig, Mulhim Al-Doori, Edgar Butwilowski, Paul V. Kuper, Joachim Benner, Karl Heinz Haefele

Nowadays 3D Geoinformation is required for plenty of making plans and research initiatives. for instance, 3D urban and infrastructure types are paving the way in which for advanced environmental and noise analyzes. 3D geological sub-surface types are wanted for reservoir exploration within the oil-, gas-, and geothermal undefined. therefore 3D Geoinformation brings jointly researchers and practitioners from diverse fields corresponding to the geo-sciences, civil engineering, 3D urban modeling, 3D geological and geophysical modeling, and, final yet no longer least, computing device technology. the various demanding situations of 3D Geoinformation technological know-how main issue new methods and the improvement of criteria for above- and under-ground 3D modeling, effective 3D facts administration, visualization and research. ultimately, the combination of alternative 3D ways and information versions is obvious as probably the most vital demanding situations to be solved.

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Fig. 5 Transformation ExtrusionBaseModel into a LoD1 model Generalization of 3D IFC Building Models 27 Fig. 3 Generation of the LoD2 Model Compared to LoD1, the generation process for LoD2 is completely different. The basis is also the ExtrusionBaseModel but the generated outer contour of the building is much more detailed with a correct roof shape and a detailed classification of the outer boundary surfaces (see Fig. 6). The first step is to assign the roof shape. An algorithm was developed to generate clipping planes for the extrusion containers of ExtrusionBaseModel, based on the original geometry of the IFC building elements IfcRoof and IfcSlab with PredefinedType set to ROOF.

Butwilowski et al. Fig. 4 Bi-directional references between CellTuple and Cell. Source (Breunig et al. 2013a, b) In this coding session, the API user first queries a face net component for a particular face with the identifier (ID) 1. Proceeding with the returned face, the user receives an arbitrary cell-tuple of the face (startCt). The cell-tuple is used as a starting point to initiate a 2-orbit ( ) “around” the face cell [an introduction to “orbits” can be found in Thomsen and Breunig (2007)]. In the do-while-loop, the α0 and α1 involutions are iterated rotatory each step.

The outer polygons of these faces are transformed into bounded clipping planes. For extrusion geometries, the procedure is different. Starting with the extrusion placement, the extrusion direction and its magnitude, the top plane of the extruded geometry can be calculated by a simple matrix operation. The boundary is derived from the extrusion profile, which is transformed into the plane. In the second step, building elements are used for a semantic classification of the clipped extrusion geometries.

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