Springer Geography - Seeing Cities Through Big Data
Latest Publications

TOTAL DOCUMENTS

30

(FIVE YEARS 0)

H-INDEX

5

(FIVE YEARS 0)

Published By Springer International Publishing

9783319409009, 9783319409023

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Erratum to: Planning for the Change: Mapping Sea Level Rise and Storm Inundation in Sherman Island Using 3Di Hydrodynamic Model and LiDAR

Springer Geography - Seeing Cities Through Big Data ◽

10.1007/978-3-319-40902-3_30 ◽

2016 ◽

pp. E1-E1

Author(s):

Yang Ju ◽

Wei-Chen Hsu ◽

John D. Radke ◽

William Fourt ◽

Wei Lang ◽

...

Keyword(s):

Sea Level Rise ◽

Sea Level ◽

Hydrodynamic Model

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Big Spatio-Temporal Network Data Analytics for Smart Cities: Research Needs

Springer Geography - Seeing Cities Through Big Data ◽

10.1007/978-3-319-40902-3_8 ◽

2016 ◽

pp. 127-140

Author(s):

Venkata M. V. Gunturi ◽

Shashi Shekhar

Keyword(s):

Data Analytics ◽

Smart Cities ◽

Network Data ◽

Research Needs ◽

Temporal Network ◽

Spatio Temporal

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CyberGIS-Enabled Urban Sensing from Volunteered Citizen Participation Using Mobile Devices

Springer Geography - Seeing Cities Through Big Data ◽

10.1007/978-3-319-40902-3_5 ◽

2016 ◽

pp. 83-96 ◽

Author(s):

Junjun Yin ◽

Yizhao Gao ◽

Shaowen Wang

Keyword(s):

Mobile Devices ◽

Citizen Participation ◽

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A Review of Heteroscedasticity Treatment with Gaussian Processes and Quantile Regression Meta-models

Springer Geography - Seeing Cities Through Big Data ◽

10.1007/978-3-319-40902-3_9 ◽

2016 ◽

pp. 141-160 ◽

Author(s):

Francisco Antunes ◽

Aidan O’Sullivan ◽

Filipe Rodrigues ◽

Francisco Pereira

Keyword(s):

Quantile Regression ◽

Gaussian Processes

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Using Social Media and Satellite Data for Damage Assessment in Urban Areas During Emergencies

Springer Geography - Seeing Cities Through Big Data ◽

10.1007/978-3-319-40902-3_24 ◽

2016 ◽

pp. 443-457 ◽

Author(s):

Guido Cervone ◽

Emily Schnebele ◽

Nigel Waters ◽

Martina Moccaldi ◽

Rosa Sicignano

Keyword(s):

Social Media ◽

Satellite Data ◽

Urban Areas ◽

Damage Assessment

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Using an Online Spatial Analytics Workbench for Understanding Housing Affordability in Sydney

Springer Geography - Seeing Cities Through Big Data ◽

10.1007/978-3-319-40902-3_14 ◽

2016 ◽

pp. 233-255 ◽

Author(s):

Christopher Pettit ◽

Andrew Tice ◽

Bill Randolph

Keyword(s):

Housing Affordability ◽

Spatial Analytics

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Estimation of Urban Transport Accessibility at the Spatial Resolution of an Individual Traveler

Springer Geography - Seeing Cities Through Big Data ◽

10.1007/978-3-319-40902-3_21 ◽

2016 ◽

pp. 383-404 ◽

Author(s):

Itzhak Benenson ◽

Eran Ben-Elia ◽

Yodan Rofe ◽

Amit Rosental

Keyword(s):

Spatial Resolution ◽

Urban Transport ◽

Transport Accessibility

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Planning for the Change: Mapping Sea Level Rise and Storm Inundation in Sherman Island Using 3Di Hydrodynamic Model and LiDAR

Springer Geography - Seeing Cities Through Big Data ◽

10.1007/978-3-319-40902-3_18 ◽

2016 ◽

pp. 313-329 ◽

Author(s):

Yang Ju ◽

Wei-Chen Hsu ◽

John D. Radke ◽

William Fourt ◽

Wei Lang ◽

...

Keyword(s):

Sea Level Rise ◽

Sea Level ◽

Hydrodynamic Model

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Digital Infomediaries and Civic Hacking in Emerging Urban Data Initiatives

Springer Geography - Seeing Cities Through Big Data ◽

10.1007/978-3-319-40902-3_11 ◽

2016 ◽

pp. 189-207 ◽

Author(s):

Piyushimita Thakuriah ◽

Lise Dirks ◽

Yaye Mallon Keita

Keyword(s):

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Dynamic Agent Based Simulation of an Urban Disaster Using Synthetic Big Data

Springer Geography - Seeing Cities Through Big Data ◽

10.1007/978-3-319-40902-3_20 ◽

2016 ◽

pp. 349-382 ◽

Author(s):

A. Yair Grinberger ◽

Michal Lichter ◽

Daniel Felsenstein

Keyword(s):

Big Data ◽

Agent Based Simulation ◽

Agent Based ◽

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