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Progress and New Trends in 3D Geoinformation Sciences

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Cover of 'Progress and New Trends in 3D Geoinformation Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 Modelling 3D Topographic Space Against Indoor Navigation Requirements
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    Chapter 2 Enhancing the Visibility of Labels in 3D Navigation Maps
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    Chapter 3 Semantic 3D Modeling of Multi-Utility Networks in Cities for Analysis and 3D Visualization
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    Chapter 4 Generalization and Visualization of 3D Building Models in CityGML
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    Chapter 5 From the Volumetric Algorithm for Single-Tree Delineation Towards a Fully-Automated Process for the Generation of “Virtual Forests”
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    Chapter 6 A Service-Based Concept for Camera Control in 3D Geovirtual Environments
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    Chapter 7 Representing Three-Dimensional Topography in a DBMS With a Star-Based Data Structure
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    Chapter 8 Can Topological Pre-Culling of Faces Improve Rendering Performance of City Models in Google Earth?
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    Chapter 9 On Problems and Benefits of 3D Topology on Under-Specified Geometries in Geomorphology
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    Chapter 10 Geometric-Semantical Consistency Validation of CityGML Models
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    Chapter 11 Advancing DB4GeO
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    Chapter 12 Glob3 Mobile: An Open Source Framework for Designing Virtual Globes on iOS and Android Mobile Devices
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    Chapter 13 ( α , δ )-Sleeves for Reconstruction of Rectilinear Building Facets
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    Chapter 14 A 3D-GIS Implementation for Realizing 3D Network Analysis and Routing Simulation for Evacuation Purpose
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    Chapter 15 A Three Step Procedure to Enrich Augmented Reality Games with CityGML 3D Semantic Modeling
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    Chapter 16 Implementation of a National 3D Standard: Case of the Netherlands
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    Chapter 17 Open Building Models: Towards a Platform for Crowdsourcing Virtual 3D Cities
Overall attention for this book and its chapters
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Mentioned by

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1 patent

Citations

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80 Mendeley
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Title
Progress and New Trends in 3D Geoinformation Sciences
Published by
Springer Science & Business Media, October 2012
DOI 10.1007/978-3-642-29793-9
ISBNs
978-3-64-229792-2, 978-3-64-229793-9
Editors

Jacynthe Pouliot, Sylvie Daniel, Frédéric Hubert, Alborz Zamyadi

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
France 1 1%
China 1 1%
Canada 1 1%
Unknown 75 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 33%
Student > Master 17 21%
Researcher 10 13%
Student > Doctoral Student 6 8%
Student > Bachelor 5 6%
Other 16 20%
Readers by discipline Count As %
Computer Science 22 28%
Engineering 18 23%
Earth and Planetary Sciences 14 18%
Environmental Science 7 9%
Unspecified 5 6%
Other 14 18%