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Computational Approaches for Urban Environments

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Cover of 'Computational Approaches for Urban Environments'

Table of Contents

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    Book Overview
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    Chapter 1 Computational Approaches for Urban Environments: An Editorial
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    Chapter 2 From Fractal Urban Pattern Analysis to Fractal Urban Planning Concepts
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    Chapter 3 Knowledge Discovery in Spatial Planning Data: A Concept for Cluster Understanding
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    Chapter 4 Clustering Contextual Neural Gas: A New Approach for Spatial Planning and Analysis Tasks
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    Chapter 5 Hedonic House Price Modeling Based on Multilevel Structured Additive Regression
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    Chapter 6 Simple Agents, Complex Emergent City: Agent-Based Modeling of Intraurban Migration
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    Chapter 7 Quantifying Urban Diversity: Multiple Spatial Measures of Physical, Social, and Economic Characteristics
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    Chapter 8 Everyday Cycling in Urban Environments: Understanding Behaviors and Constraints in Space-Time
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    Chapter 9 Performance Improvements for Large-Scale Traffic Simulation in MATSim
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    Chapter 10 Recent Advances on 2D and 3D Change Detection in Urban Environments from Remote Sensing Data
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    Chapter 11 Fusion of Airborne Hyperspectral and LiDAR Remote Sensing Data to Study the Thermal Characteristics of Urban Environments
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    Chapter 12 Modeling Urban Land Use Change: Integrating Remote Sensing with Socioeconomic Data
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    Chapter 13 Linked Activity Spaces: Embedding Social Networks in Urban Space
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    Chapter 14 Using Non-authoritative Sources During Emergencies in Urban Areas
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    Chapter 15 Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong
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    Chapter 16 Epilogue
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Chapter title
Computational Approaches for Urban Environments: An Editorial
Chapter number 1
Book title
Computational Approaches for Urban Environments
Published by
Springer International Publishing, February 2016
DOI 10.1007/978-3-319-11469-9_1
Book ISBNs
978-3-31-911468-2, 978-3-31-911469-9
Authors

Marco Helbich, Jamal Jokar Arsanjani, Michael Leitner, Helbich, Marco, Jokar Arsanjani, Jamal, Leitner, Michael

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X Demographics

The data shown below were collected from the profile of 1 X user 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 43%
Other 2 29%
Student > Bachelor 1 14%
Student > Doctoral Student 1 14%
Readers by discipline Count As %
Environmental Science 1 14%
Business, Management and Accounting 1 14%
Agricultural and Biological Sciences 1 14%
Earth and Planetary Sciences 1 14%
Energy 1 14%
Other 1 14%
Unknown 1 14%