Human dynamics research in smart and connected communities. ([2018])
- Record Type:
- Book
- Title:
- Human dynamics research in smart and connected communities. ([2018])
- Main Title:
- Human dynamics research in smart and connected communities
- Further Information:
- Note: Shih-Lung Shaw, Daniel Sui, editors.
- Editors:
- Shaw, Shih-Lung
Sui, Daniel - Contents:
- Intro; Contents; Editors and Contributors; 1 Introduction: Human Dynamics in Perspective; 1.1 Introduction; 1.2 Human Dynamics in Perspective; 1.3 Overview of the Chapters in This Volume; References; 2 Utilizing Geo-located Sensors and Social Media for Studying Population Dynamics and Land Classification; 2.1 Introduction; 2.2 Geo-located Human Activity Data Collection and Management; 2.2.1 Neogeography; 2.2.2 Volunteered Geographic Information; 2.2.3 Social Media; 2.2.3.1 Twitter; 2.2.3.2 Facebook; 2.2.3.3 Limitations of Social Media; 2.2.3.4 Application to Human Dynamics Research 2.3 Improving Land Use Inference by Factorizing Mobile Phone Call Activity Matrix2.3.1 Result and Analysis; 2.3.2 Validation; 2.4 Understanding Special Events Population; 2.4.1 Methods and Results; 2.4.2 Discussion; 2.5 Facility Popularity Assessment from Fine Grained Twitter Analysis; 2.5.1 Basic Description; 2.5.2 Twitter Training Data; 2.5.3 Text Classification Algorithm and Approach; 2.5.3.1 Data Sanitation and Cleaning; 2.5.4 Machine Learning Classification; 2.5.5 Results and Analysis; 2.5.5.1 Training Classifiers; 2.5.5.2 Evaluation Metrics; 2.5.5.3 Results; 2.5.5.4 Accuracy 2.5.5.5 Precision2.6 Summary; Acknowledgements; References; 3 Uncovering the Relationships Between Phone Communication Activities and Spatiotemporal Distribution of Mobile Phone Users; 3.1 Introduction; 3.2 Related Work; 3.3 Study Area and Mobile Phone Data Set; 3.4 Research Design; 3.4.1 Defining Indicators of AggregateIntro; Contents; Editors and Contributors; 1 Introduction: Human Dynamics in Perspective; 1.1 Introduction; 1.2 Human Dynamics in Perspective; 1.3 Overview of the Chapters in This Volume; References; 2 Utilizing Geo-located Sensors and Social Media for Studying Population Dynamics and Land Classification; 2.1 Introduction; 2.2 Geo-located Human Activity Data Collection and Management; 2.2.1 Neogeography; 2.2.2 Volunteered Geographic Information; 2.2.3 Social Media; 2.2.3.1 Twitter; 2.2.3.2 Facebook; 2.2.3.3 Limitations of Social Media; 2.2.3.4 Application to Human Dynamics Research 2.3 Improving Land Use Inference by Factorizing Mobile Phone Call Activity Matrix2.3.1 Result and Analysis; 2.3.2 Validation; 2.4 Understanding Special Events Population; 2.4.1 Methods and Results; 2.4.2 Discussion; 2.5 Facility Popularity Assessment from Fine Grained Twitter Analysis; 2.5.1 Basic Description; 2.5.2 Twitter Training Data; 2.5.3 Text Classification Algorithm and Approach; 2.5.3.1 Data Sanitation and Cleaning; 2.5.4 Machine Learning Classification; 2.5.5 Results and Analysis; 2.5.5.1 Training Classifiers; 2.5.5.2 Evaluation Metrics; 2.5.5.3 Results; 2.5.5.4 Accuracy 2.5.5.5 Precision2.6 Summary; Acknowledgements; References; 3 Uncovering the Relationships Between Phone Communication Activities and Spatiotemporal Distribution of Mobile Phone Users; 3.1 Introduction; 3.2 Related Work; 3.3 Study Area and Mobile Phone Data Set; 3.4 Research Design; 3.4.1 Defining Indicators of Aggregate Cellphone Usage; 3.4.2 Deriving the Spatiotemporal Distribution of Mobile Phone Users; 3.4.3 Correlation and Regression Analysis; 3.5 Results and Discussion; 3.5.1 Correlation Between the Number of Phone Users and the Two Cellphone Usage Indicators 3.5.2 Comparison of Regression Models3.5.3 Cross Validation; 3.5.4 Spatiotemporal Patterns of Residuals; 3.6 Conclusion; Acknowledgements; References; 4 Spatio-Temporal-Network Visualization for Exploring Human Movements and Interactions in Physical and Virtual Spaces; 4.1 Introduction; 4.2 An Integrated Spatio-temporal-Network Framework; 4.3 Case Study; 4.4 Vision for Quantitative Analytical Metrics; 4.5 Conclusions; References; 5 Modeling Mobility and Dynamics of Scheduled Space-Time Activitiesâ#x80;#x94;An RDF Approach; 5.1 Introduction; 5.2 Related Work 5.2.1 Geospatial Technologies and Human Mobility5.2.2 Semantic Data Models and Geospatial Research; 5.3 A Semantic Data Model for Space-Time Activity; 5.3.1 Integrate Spatial and Temporal Dimension of Space-Time Activity; 5.3.2 Thematic Role of Participants of Space-Time Activities; 5.3.3 Individual Trajectory and Space-Time Activity; 5.3.4 Scheduled Space-Time Activities; 5.4 Prototype Implementation and a Use Case for Scheduled Movements; 5.5 Retrieving Campus Movement Dynamics from RDF Knowledgebase; 5.5.1 Representing and Visualizing Trajectories for Individual Students … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource, illustrations, maps
- Subjects:
- 307.76
Social sciences
Cities and towns -- Technological innovations
Cities and towns -- Geographic information systems
Information society
Technology -- Social aspects
Human behavior
Human Geography
Social sciences -- Data processing
SOCIAL SCIENCE / Sociology / Urban
Cities and towns
Human behavior
Information society
Technology -- Social aspects
Social Science -- Human Geography
Computers -- Data Processing
Human geography
Society & social sciences
Electronic books
Geographic information systems - Languages:
- English
- ISBNs:
- 9783319732473
3319732471 - Related ISBNs:
- 9783319732466
3319732463 - Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (EBSCO, viewed February 19, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.366980
- Ingest File:
- 02_345.xml