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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 14: Urban Emotions—Geo-Semantic Emotion Extraction from Technical Sensors, Human Sensors and Crowdsourced Data
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Chapter title
Urban Emotions—Geo-Semantic Emotion Extraction from Technical Sensors, Human Sensors and Crowdsourced Data
Chapter number 14
Book title
Progress in Location-Based Services 2014
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-11879-6_14
Book ISBNs
978-3-31-911878-9, 978-3-31-911879-6
Authors

Bernd Resch, Anja Summa, Günther Sagl, Peter Zeile, Jan-Philipp Exner

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Australia 1 <1%
India 1 <1%
United Kingdom 1 <1%
Egypt 1 <1%
Poland 1 <1%
Unknown 119 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 30%
Student > Master 28 22%
Researcher 11 9%
Student > Bachelor 9 7%
Student > Doctoral Student 6 5%
Other 14 11%
Unknown 20 16%
Readers by discipline Count As %
Computer Science 26 21%
Social Sciences 15 12%
Engineering 15 12%
Environmental Science 12 10%
Earth and Planetary Sciences 11 9%
Other 21 17%
Unknown 25 20%