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Computer-Aided Architectural Design. Future Trajectories

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Cover of 'Computer-Aided Architectural Design. Future Trajectories'

Table of Contents

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    Book Overview
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    Chapter 1 An Experimental Methodology for Urban Morphology Analysis
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    Chapter 2 Interactive Urban Synthesis
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    Chapter 3 CIM-St
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    Chapter 4 Integration of a Structure from Motion into Virtual and Augmented Reality for Architectural and Urban Simulation
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    Chapter 5 CAMBRIA: Interacting with Multiple CAD Alternatives
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    Chapter 6 A Matter of Sequence
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    Chapter 7 Why Do We Need Building Information Modeling (BIM) in Conceptual Design Phase?
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    Chapter 8 Challenges in Raising Digital Awareness in Architectural Curriculum
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    Chapter 9 SILVEREYE – The Implementation of Particle Swarm Optimization Algorithm in a Design Optimization Tool
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    Chapter 10 Solar Collection Multi-isosurface Method
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    Chapter 11 Making Sense of Design Space
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    Chapter 12 Studying Co-design
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    Chapter 13 Association Rule Mining to Assess User-Generated Content in Digital Heritage
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    Chapter 14 Computing with Watercolor Shapes
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    Chapter 15 Robot-Aided Fabrication of Interwoven Reinforced Concrete Structures
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    Chapter 16 Computing Stitches and Crocheting Geometry
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    Chapter 17 Discrete Heuristics
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    Chapter 18 EthnoComputation: An Inductive Shape Grammar on Toraja Glyph
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    Chapter 19 Shape Computations Without Compositions
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    Chapter 20 The Marching Shape
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    Chapter 21 Outlining Terragni
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    Chapter 22 Rectilinear Floor Plans
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Title
Computer-Aided Architectural Design. Future Trajectories
Published by
Springer, Singapore, January 2017
DOI 10.1007/978-981-10-5197-5
ISBNs
978-9-81-105196-8, 978-9-81-105197-5
Editors

Gülen Çağdaş, Mine Özkar, Leman Figen Gül, Ethem Gürer

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 47%
Student > Master 4 11%
Researcher 4 11%
Lecturer 2 6%
Student > Bachelor 2 6%
Other 4 11%
Unknown 3 8%
Readers by discipline Count As %
Design 9 25%
Arts and Humanities 5 14%
Engineering 5 14%
Social Sciences 3 8%
Environmental Science 2 6%
Other 8 22%
Unknown 4 11%