Big Data for Regional Science
Latest Publications

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28

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1

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Published By Routledge

9781315270838

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Public response to campus shootings using social media

Big Data for Regional Science ◽

10.4324/9781315270838-8 ◽

2017 ◽

pp. 94-105 ◽

Author(s):

Xinyue Ye ◽

Zhuo Chen ◽

Shengwen Li

Keyword(s):

Social Media ◽

Public Response

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Big data clustering and its applications in regional science

Big Data for Regional Science ◽

10.4324/9781315270838-21 ◽

2017 ◽

pp. 257-264

Author(s):

Yazhou Ren

Keyword(s):

Big Data ◽

Data Clustering ◽

Regional Science

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Opportunities for retail data and their geographic integration in social science

Big Data for Regional Science ◽

10.4324/9781315270838-2 ◽

2017 ◽

pp. 11-21

Author(s):

Guy Lansley ◽

Paul Longley

Keyword(s):

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The integration of Internet data and census data for spatial analysis in a geoportal

Big Data for Regional Science ◽

10.4324/9781315270838-13 ◽

2017 ◽

pp. 153-163

Author(s):

Bing She ◽

Hua Li ◽

Shuming Bao

Keyword(s):

Spatial Analysis ◽

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Exploring digital technology industry clusters using administrative and frontier data

Big Data for Regional Science ◽

10.4324/9781315270838-12 ◽

2017 ◽

pp. 143-152

Author(s):

Max Nathan ◽

Anna Rosso

Keyword(s):

Digital Technology ◽

Industry Clusters ◽

Technology Industry

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Processing uncertain GPS trajectory data for assessing the locations of physical activity

Big Data for Regional Science ◽

10.4324/9781315270838-11 ◽

2017 ◽

pp. 131-142

Author(s):

Sungsoon Hwang ◽

Sai Yalla ◽

Ryan Crews

Keyword(s):

Physical Activity ◽

Trajectory Data ◽

Gps Trajectory Data ◽

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Using recurrent spatio-temporal profiles in GPS panel data for enhancing imputation of activity type

Big Data for Regional Science ◽

10.4324/9781315270838-10 ◽

2017 ◽

pp. 121-130 ◽

Author(s):

Tao Feng ◽

Harry J.P. Timmermans

Keyword(s):

Activity Type ◽

Spatio Temporal ◽

Temporal Profiles

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Introduction

Big Data for Regional Science ◽

10.4324/9781315270838-1 ◽

2017 ◽

pp. 1-8

Author(s):

Laurie A. Schintler ◽

Zhenhua Chen

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Using big (synthetic) data to identify local housing market attributes

Big Data for Regional Science ◽

10.4324/9781315270838-9 ◽

2017 ◽

pp. 109-120 ◽

Author(s):

A. Yair Grinberger ◽

Daniel Felsenstein

Keyword(s):

Housing Market ◽

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Crowdsourcing street beauty

Big Data for Regional Science ◽

10.4324/9781315270838-7 ◽

2017 ◽

pp. 75-93

Author(s):

Robert Goodspeed ◽

Xiang Yan

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