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Seeing Cities Through Big Data

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Cover of 'Seeing Cities Through Big Data'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Seeing Cities Through Big Data: Research, Methods and Applications in Urban Informatics
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    Chapter 2 Big Data and Urban Informatics: Innovations and Challenges to Urban Planning and Knowledge Discovery
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    Chapter 3 Using User-Generated Content to Understand Cities
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    Chapter 4 Developing an Interactive Mobile Volunteered Geographic Information Platform to Integrate Environmental Big Data and Citizen Science in Urban Management
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    Chapter 5 CyberGIS-Enabled Urban Sensing from Volunteered Citizen Participation Using Mobile Devices
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    Chapter 6 The Potential for Big Data to Improve Neighborhood-Level Census Data
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    Chapter 7 Big Data and Survey Research: Supplement or Substitute?
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    Chapter 8 Big Spatio-Temporal Network Data Analytics for Smart Cities: Research Needs
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    Chapter 9 A Review of Heteroscedasticity Treatment with Gaussian Processes and Quantile Regression Meta-models
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    Chapter 10 Urban Informatics: Critical Data and Technology Considerations
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    Chapter 11 Digital Infomediaries and Civic Hacking in Emerging Urban Data Initiatives
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    Chapter 12 How Should Urban Planners Be Trained to Handle Big Data?
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    Chapter 13 Energy Planning in a Big Data Era: A Theme Study of the Residential Sector
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    Chapter 14 Using an Online Spatial Analytics Workbench for Understanding Housing Affordability in Sydney
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    Chapter 15 A Big Data Mashing Tool for Measuring Transit System Performance
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    Chapter 16 Developing a Comprehensive U.S. Transit Accessibility Database
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    Chapter 17 Seeing Chinese Cities Through Big Data and Statistics
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    Chapter 18 Planning for the Change: Mapping Sea Level Rise and Storm Inundation in Sherman Island Using 3Di Hydrodynamic Model and LiDAR
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    Chapter 19 The Impact of Land-Use Variables on Free-Floating Carsharing Vehicle Rental Choice and Parking Duration
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    Chapter 20 Dynamic Agent Based Simulation of an Urban Disaster Using Synthetic Big Data
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    Chapter 21 Estimation of Urban Transport Accessibility at the Spatial Resolution of an Individual Traveler
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    Chapter 22 Modeling Taxi Demand and Supply in New York City Using Large-Scale Taxi GPS Data
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    Chapter 23 Detecting Stop Episodes from GPS Trajectories with Gaps
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    Chapter 24 Using Social Media and Satellite Data for Damage Assessment in Urban Areas During Emergencies
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    Chapter 25 ‘Big Data’: Pedestrian Volume Using Google Street View Images
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    Chapter 26 Learning from Outdoor Webcams: Surveillance of Physical Activity Across Environments
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    Chapter 27 Mapping Urban Soundscapes via Citygram
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    Chapter 28 Big Data and Smart (Equitable) Cities
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    Chapter 29 Big Data, Small Apps: Premises and Products of the Civic Hackathon
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    Chapter 30 Erratum to: Planning for the Change: Mapping Sea Level Rise and Storm Inundation in Sherman Island Using 3Di Hydrodynamic Model and LiDAR
Overall attention for this book and its chapters
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Title
Seeing Cities Through Big Data
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-40902-3
ISBNs
978-3-31-940900-9, 978-3-31-940902-3
Editors

Piyushimita Vonu Thakuriah, Nebiyou Tilahun, Moira Zellner

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 1%
Unknown 99 99%
Readers by discipline Count As %
Environmental Science 1 1%
Unknown 99 99%