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Progress in Location-Based Services 2014

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Cover of 'Progress in Location-Based Services 2014'

Table of Contents

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    Book Overview
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    Chapter 1 Is OSM Good Enough for Vehicle Routing? A Study Comparing Street Networks in Vienna
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    Chapter 2 Calculating Route Probability from Uncertain Origins to a Destination
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    Chapter 3 Visualization and Communication of Indoor Routing Information
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    Chapter 4 A Computational Method for Indoor Landmark Extraction
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    Chapter 5 On the Feasibility of Using Two Mobile Phones and WLAN Signal to Detect Co-Location of Two Users for Epidemic Prediction
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    Chapter 6 3D Indoor Location on Mobile Phones Using Embedded Sensors and Close-Range Photogrammetry
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    Chapter 7 Range Domain IMM Filtering with Additional Signal Attenuation Error Mitigation of Individual Channels for WLAN RSSI-Based Position-Tracking
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    Chapter 8 Application of the Inertial Navigation System 3D-Self-Calibration-Method for the Minimization of the Measurement Uncertainty
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    Chapter 9 Feature Selection in Conditional Random Fields for Map Matching of GPS Trajectories
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    Chapter 10 Road Network Conflation: An Iterative Hierarchical Approach
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    Chapter 11 Analysing the Usage of Spatial Prepositions in Short Messages
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    Chapter 12 Using Location-Based Social Media for Ranking Individual Familiarity with Places: A Case Study with Foursquare Check-in Data
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    Chapter 13 A Space Time Alarm
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    Chapter 14 Urban Emotions—Geo-Semantic Emotion Extraction from Technical Sensors, Human Sensors and Crowdsourced Data
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    Chapter 15 Citizens as Expert Sensors: One Step Up on the VGI Ladder
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    Chapter 16 LBS-Based Dilemma Zone Warning System at Signalized Intersection
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    Chapter 17 ATSSS: An Active Traffic Safety Service System in Pudong New District, Shanghai, China
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    Chapter 18 Bridging the Gap Between Field- and Lab-Based User Studies for Location-Based Services
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    Chapter 19 Challenges of Location-Based Services Market Analysis: Current Market Description
Attention for Chapter 12: Using Location-Based Social Media for Ranking Individual Familiarity with Places: A Case Study with Foursquare Check-in Data
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Citations

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Chapter title
Using Location-Based Social Media for Ranking Individual Familiarity with Places: A Case Study with Foursquare Check-in Data
Chapter number 12
Book title
Progress in Location-Based Services 2014
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-11879-6_12
Book ISBNs
978-3-31-911878-9, 978-3-31-911879-6
Authors

Wangshu Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 11%
Australia 1 11%
Unknown 7 78%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 22%
Lecturer 1 11%
Lecturer > Senior Lecturer 1 11%
Student > Ph. D. Student 1 11%
Researcher 1 11%
Other 0 0%
Unknown 3 33%
Readers by discipline Count As %
Social Sciences 3 33%
Earth and Planetary Sciences 1 11%
Medicine and Dentistry 1 11%
Unknown 4 44%