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Crowdsourcing geographic knowledge : volunteered geographic information (VGI) in theory and practice / / Daniel Sui, Sarah Elwood, Michael Goodchild, editors
| Crowdsourcing geographic knowledge : volunteered geographic information (VGI) in theory and practice / / Daniel Sui, Sarah Elwood, Michael Goodchild, editors |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Dordrecht, : Springer, 2012, c2013 |
| Descrizione fisica | 1 online resource (393 p.) |
| Disciplina | 910.285 |
| Altri autori (Persone) |
SuiDaniel Z <1965-> (Daniel Zhi)
ElwoodSarah GoodchildMichael F |
| Soggetto topico |
Geographic information systems
Human computation Data mining |
| ISBN |
1-283-63383-3
9786613946287 94-007-4587-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: VGI, the exaflood, and the growing digital divide: Daniel Sui, Michael Goodchild, & Sarah Elwood -- Section I. Public Participation and Citizen Science -- Chapter 2: Understanding the value of VGI: Rob Feick & Stéphane Roche -- Chapter 3: To volunteer or to contribute locational information? Towards truth in labeling for crowd-sourced geographic information: Francis Harvey -- Chapter 4: Metadata squared: Enhancing its usability for volunteered geographic information and the GeoWeb: Barbara Poore & Eric Wolf -- Chapter 5: Situating the adoption of VGI by government: Peter Johnson & Renee Sieber -- Chapter 6: When Web 2.0 meets public participation GIS (PPGIS): VGI and spaces of participatory mapping in China: Wen Lin -- Chapter 7: Citizen science and volunteered geographic information: Overview and typology of participation: Muki Haklay -- Section II. Geographic Knowledge Production and Place Inference -- Chapter 8: Volunteered geographic information and computational geography: New perspectives: Bin Jiang -- Chapter 9: The evolution of geo-crowdsourcing: Bringing volunteered geographic information to the third dimension: Marcus Goetz & Alexander Zipf: Chapter 10: From volunteered geographic information to volunteered geographic services:Jim Thatcher -- Chapter 11: The geographic nature of Wikipedia authorship -- Darren Hardy -- Chapter 12: Inferring thematic places from spatially referenced natural language observations: Benjamin Adams & Grant McKenzie -- Chapter 13: “I don't come from anywhere:" Exploring the role of VGI and the Geoweb in rediscovering a sense of place in a dispersed Aboriginal community: Jon Corbett -- Section III. Emerging Applications and New Challenges -- Chapter 14: Potential contributions and challenges of VGI for conventional topographic base-mapping programs: David Coleman -- Chapter 15: “We know who you are and we know where you live:”A research agenda for web demographics: T. Edwin Chow -- Chapter 16: Volunteered geographic information, actor-network theory, and severe storm reports: Mark Palmer & Scott Kraushaar -- Chapter 17: VGI as a compilation tool for navigation map databases: Michael Dobson -- Chapter 18: VGI and public health: Possibilities and pitfalls: Christopher Goranson, Sayone Thihalolipavan, & Nicolás di Tada -- Chapter 19: VGI in education: From K-12 to graduate studies: Thomas Bartoschek & Carsten Keßler -- Chapter 20: The prospects VGI research and the emerging fourth paradigm: Sarah Elwood, Michael Goodchild, & Daniel Sui. |
| Record Nr. | UNINA-9910437941403321 |
| Dordrecht, : Springer, 2012, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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CyberGIS for Geospatial Discovery and Innovation / / edited by Shaowen Wang, Michael F. Goodchild
| CyberGIS for Geospatial Discovery and Innovation / / edited by Shaowen Wang, Michael F. Goodchild |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (298 pages) |
| Disciplina | 910.285 |
| Collana | GeoJournal Library |
| Soggetto topico |
Geographical information systems
Geographical Information Systems/Cartography |
| ISBN | 94-024-1531-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Forward: Introduction: 1. CyberGIS for Transforming Geospatial Discovery and Innovation: Shaowen Wang and Michael F. Goodchild -- Applications and Science Drivers: 2. Coupling Traffic and Gas Dispersion Simulation for Atmospheric Pollution Estimation: Guido Cervone et all.-3. CyberGIS for Analyzing Urban Data : James Cheshire et all -- 4. Designing Adaptable Spatial Cyberinfrastructure for Urban eResearch : Martin Tomko et all -- 5. Mapping Spatial Information Landscape in Cyberspace with Social Media : Jiue-An Yang et all -- 6. Integrating GIScience Application through Mashup: Chaowei Yang Pinde Fu et all -- Science and Technology Frontiers: 7. Crayons: Empowering CyberGIS by Employing Cloud Infrastructure: Dinesh Agarwal et all -- 8. Enabling Spatial Big Data via CyberGIS: Challenges and Opportunities: Michael R. Evans et all -- 9. High-Performance Small-Scale Raster Map Projection Empowered by Cyberinfrastructure: Michael P. Finn Yan Liu et all -- 10. A Smart Service-Oriented CyberGIS Framework for Solving Data-Intensive Geospatial Problems: Wenwen Li et all -- 11. An Online Game Framework for Multi-User Spatial Agent Simulation: David Massey et all -- 12. Georeferenced Social Multimedia as Volunteered Geographic Information: Shawn Newsam and Daniel Leung -- Social Dimensions: 13.GeoDeliberative Web: Scaling Up Deliberative Civic Engagement Through Spatial Cyberinfrastructure: Guoray Cai -- 14.Towards a Community "Playground:" Connecting CyberGIS with its Communities: Dawn J. Wright Victoria Kouyoumijan, and Steve Kopp -- 15.CyberGIS Considerations for Structured Participation Methods in Collaborative Problem Solving: Mary Roderick Timothy Nyerges, and Michalis Avraam -- An Epilogue Shaowen Wang. |
| Record Nr. | UNINA-9910337893003321 |
| Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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GEOCROWD : proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information : November 6, 2012, Redondo Beach, California, USA
| GEOCROWD : proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information : November 6, 2012, Redondo Beach, California, USA |
| Autore | Goodchild Mike |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2012 |
| Descrizione fisica | 1 online resource (98 pages) |
| Collana | ACM Conferences |
| Soggetto topico |
Geography
Earth & Environmental Sciences Geography-General |
| ISBN | 1-4503-1694-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
GEOCROWD : proceedings of the 1st Association for Computing Machinery Special Interest Group on Spatial Information International Workshop on Crowdsourced and Volunteered Geographic Information : November 6, 2012, Redondo Beach, California, United States of America
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information |
| Record Nr. | UNINA-9910375882403321 |
Goodchild Mike
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| [Place of publication not identified], : ACM, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Manual of Digital Earth / / edited by Huadong Guo, Michael F. Goodchild, Alessandro Annoni
| Manual of Digital Earth / / edited by Huadong Guo, Michael F. Goodchild, Alessandro Annoni |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xix, 852 pages) : illustrations (some color) |
| Disciplina | 910.285 |
| Soggetto topico | Geographic information systems |
| ISBN | 981-329-915-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Understanding Digital Earth -- Part I Digital Earth Technologies -- Digital Earth Platforms -- Remote Sensing -- Satellites for Digital Earth -- Satellite Navigation for Digital Earth -- Geospatial Information Infrastructures -- Geospatial Information Processing Technologies -- Geospatial Information Visualization and Extended Reality Displays -- Transformation in Scale for Continuous Zooming -- Big Data and Cloud Computing -- Artificial Intelligence -- Internet of Things -- Social Media and Social Awareness -- Part II Digital Earth for Multi-domain Applications -- Digital Earth for Sustainable Development Goals -- Digital Earth for Climate Change Research -- Digital Earth for Disaster Mitigation Research -- Digital City: An Urban Perspective on Digital Earth -- Digital Heritage -- Citizen Science in Support of Digital Earth -- The Economic Value of Digital Earth -- Part III Digital Earth Regional & National Development -- Digital Earth in Europe -- Digital Earth in Australia -- Digital Earth in China -- Digital Earth in Russia -- Part IV Digital Earth Education and Ethics -- Digital Earth Education -- Digital Earth Ethics. |
| Record Nr. | UNINA-9910366629303321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Urban Informatics
| Urban Informatics |
| Autore | Shi Wenzhong |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (928 pages) |
| Disciplina | 307.76 |
| Altri autori (Persone) |
GoodchildMichael F
BattyMichael KwanMei-Po ZhangAnshu |
| Collana | The Urban Book |
| Soggetto topico |
Human geography
Computer networking & communications Information technology: general issues Geography |
| Soggetto non controllato |
Human Geography
Information Systems and Communication Service Computer Applications Geography, general Urban Geography and Urbanism Database Management System Geographical Information System Urban informatics Urban science GIS Urban computing Sensing Big data Smart cities Spatial data infrastructure Big data analytics Data-driven geography Open access Computer networking & communications Information technology: general issues Geography |
| ISBN | 981-15-8983-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Acknowledgements -- Contents -- About the Editors -- 1 Overall Introduction -- 1.1 Defining Urban Informatics -- 1.2 The Background: The Origins of Urban Informatics -- 1.3 Structure of the Book -- 1.4 Retrospective and Prospective -- References -- Part IDimensions of Urban Science -- 2 Introduction to Urban Science -- 3 Defining Urban Science -- 3.1 A Science of Cities -- 3.2 City Systems and Systems of Cities -- 3.3 Urban Growth: Urbanization from the Bottom Up -- 3.4 Scale and Size, Networks, and Flows -- 3.5 The Development of Operational Urban Models -- 3.6 Future Directions in Urban Informatics -- References -- 4 Street View Imaging for Automated Assessments of Urban Infrastructure and Services -- 4.1 Introduction -- 4.2 Data Collection and Object Localization -- 4.3 Deriving Urban Functions from Object Statistics -- 4.4 Discussion -- References -- 5 Urban Human Dynamics -- 5.1 Introduction -- 5.2 Urban Dynamics -- 5.2.1 Cellular Automata for Urban Dynamics Research -- 5.2.2 Other Urban Dynamics Approaches -- 5.3 Human Dynamics -- 5.3.1 Effects of Information and Communications Technologies on Human Dynamics -- 5.3.2 Time Geography -- 5.3.3 Big Data and Space-Time GIS for Human Dynamics Research -- 5.3.4 Some Other Examples Human Dynamics Studies -- 5.4 Urban Human Dynamics and Urban Informatics -- References -- 6 Geosmartness for Personalized and Sustainable Future Urban Mobility -- 6.1 Introduction -- 6.2 Geosmartness -- 6.3 Analyzing Urban-Mobility Patterns -- 6.3.1 Data -- 6.3.2 Computational Methods for Large-Scale Spatio-temporal Mobility-Pattern Analysis -- 6.3.3 Studies -- 6.3.4 SBB Green Class (Multi-modal and Energy-Efficient Mobility) -- 6.4 Behavioral Change and Sustainable Mobility -- 6.4.1 Motivation -- 6.4.2 Detecting and Supporting Behavioral Change -- 6.4.3 Studies -- 6.4.4 GoEco! -- 6.5 Mobile Decision Making.
6.5.1 Mobile Eye-Tracking and Gaze-Based Interaction -- 6.5.2 Personalized Gaze-Based Decision Support -- 6.6 Conclusions and Future Work -- References -- 7 Urban Metabolism -- 7.1 Introduction -- 7.2 History of Urban Metabolism -- 7.3 Methods of Urban Metabolism -- 7.3.1 Bottom-Up Methods -- 7.3.2 Top-Down Methods -- 7.3.3 Hybrid Methods -- 7.4 A Case Study: The Metabolism of Singapore -- 7.5 Urban Metabolism Applications, Challenges, and Opportunities -- 7.6 Conclusions -- References -- 8 Spatial Economics, Urban Informatics, and Transport Accessibility -- 8.1 Introduction -- 8.2 Intellectual Context -- 8.3 Econometric Models -- 8.3.1 Isotropic Versus Hierarchical Market Linkages for Economic Mass (EM) Computation -- 8.3.2 Control Variables -- 8.3.3 Representing Spatial Spillover Effects -- 8.4 Data -- 8.5 Model Test Results -- 8.6 Discussions -- 8.7 Conclusions -- References -- 9 Conceptualizing the City of the Information Age -- 9.1 Introduction -- 9.1.1 Urban Complexity in the Age of Information and Communication Technologies -- 9.1.2 A Different Kind of City -- 9.1.3 The Smart City -- 9.1.4 Urban Informatics -- 9.2 Urban Research and Planning, Yesterday, and Tomorrow -- 9.2.1 The City as Place -- 9.2.2 The City as Node on a Network -- 9.2.3 Planning the City -- 9.3 Speculations -- 9.3.1 The Robotic Era? -- 9.3.2 The City's Epistemic Planes -- 9.4 Conclusion -- References -- Part IIUrban Systems and Applications -- 10 Introduction to Urban Systems and Applications -- 11 Characterizing Urban Mobility Patterns: A Case Study of Mexico City -- 11.1 Introduction -- 11.2 Data Collection of POIs -- 11.2.1 Parsing Algorithm -- 11.3 Spatial Distribution of POIs -- 11.3.1 Extended Radiation Model for Human Mobility -- 11.3.2 Results -- 11.4 Analyzing Human Mobility by Mode of Transportation -- 11.4.1 Detected Mobility Groups -- 11.5 Conclusions. References -- 12 Laboratories for Research on Freight Systems and Planning -- 12.1 Introduction -- 12.2 Future Mobility Sensing, a Behavioral Laboratory -- 12.2.1 Background -- 12.2.2 FMS Architecture -- 12.2.3 Applications -- 12.3 SimMobility, a Simulation Laboratory -- 12.3.1 Background -- 12.3.2 SimMobility Architecture -- 12.3.3 Applications -- 12.4 Demonstrations -- 12.4.1 Freight-Vehicle Route-Choice Model -- 12.4.2 Quantification of Model Performance -- 12.4.3 Replication of Specific Freight and Non-Freight-Vehicle Tours -- 12.5 Concluding Remarks -- References -- 13 Urban Risks and Resilience -- 13.1 Introduction -- 13.2 Risks, Exposure, and Vulnerability -- 13.3 Urban Resilience and Capacities -- 13.3.1 The Definitional Quagmire -- 13.3.2 Objects of Analysis -- 13.4 Measurement and Assessment Informatics -- 13.5 Science Informs Practice and Practice Informs Science -- 13.6 Moving Forward -- References -- 14 Urban Crime and Security -- 14.1 Introduction -- 14.2 Urban Crime -- 14.2.1 Historical Roots in Understanding Urban Crime: An Environmental Perspective -- 14.2.2 Theoretical Concepts in Environmental Criminology -- 14.3 Urban Security -- 14.3.1 Fear of Crime in Urban Areas -- 14.3.2 Implementation of Crime Prevention -- 14.4 Latest Tools in Urban Crime Analysis and Security -- 14.4.1 Crime Hotspot Mapping: From Retrospective Analysis to Prediction -- 14.4.2 Advanced Police Patrolling Strategies -- 14.5 Intelligent Data-Driven Policing -- 14.6 Summary -- References -- 15 Urban Governance -- 15.1 Transparency and City Open Data -- 15.1.1 Open Data Platforms -- 15.1.2 Open Data and Accountability -- 15.1.3 Why Are Goals Important? -- 15.1.4 Dashboards and Performance Indicators -- 15.2 Algorithmic Decision-Making -- 15.2.1 Positioning Algorithms -- 15.2.2 Challenges for Operationalizing Algorithms -- 15.3 Conclusion -- References. 16 Urban Pollution -- 16.1 Monitoring Air Quality in Urban Areas -- 16.2 Remote Sensing of the Urban Heat Island -- 16.2.1 Spatial Resolution of Satellite Sensors Related to Scales of Urban Climate -- 16.2.2 Relationship Between Surface Temperature and Air Temperature -- 16.2.3 Time of Imaging in Relation to Heat Island Maximum -- 16.2.4 Anisotropy of the Satellite View -- 16.2.5 The Need for Emissivity and Atmospheric Correction -- 16.3 Monitoring Water Quality Along Urban Coastlines -- References -- 17 Urban Health and Wellbeing -- 17.1 Smart Cities and Health -- 17.2 Data -- 17.2.1 Big Data -- 17.2.2 Individual and Population Data -- 17.2.3 Environmental Data -- 17.3 Methods and Techniques -- 17.4 BERTHA Studies -- 17.4.1 AirGIS -- 17.4.2 Personalized Tracking and Sensing -- 17.4.3 Personalized Air-Pollution Sensors -- 17.4.4 Mental Health -- 17.4.5 Physical Activity -- 17.4.6 Danish Blood-Donor Study -- 17.5 Privacy -- 17.6 Conclusions -- References -- 18 Urban Energy Systems: Research at Oak Ridge National Laboratory -- 18.1 Introduction -- 18.2 Population and Land Use -- 18.2.1 Big Data and GeoAI to Create Population and Land-Use Data -- 18.2.2 Estimating Urban Electricity Use in Data-Poor Regions -- 18.2.3 Estimating Household-Level Energy Consumption -- 18.3 Sustainable Mobility -- 18.3.1 Human Interactions with Transportation Systems -- 18.3.2 Emerging Options for Freight Delivery for Businesses -- 18.4 Energy-Water Nexus -- 18.5 Urban Resiliency -- 18.5.1 Renewable Energy-Infrastructure Assessment -- 18.5.2 Optimizing Energy and Safety Through Precision De-icing -- 18.6 Situational Awareness of National Energy Infrastructure -- 18.7 Conclusion -- References -- Part IIIUrban Sensing -- 19 Introduction to Urban Sensing -- 20 Optical Remote Sensing -- 20.1 Introduction -- 20.2 History of Optical Remote Sensing. 20.3 Latest Developments in Optical Remote Sensing -- 20.3.1 Introduction to Representative Optical Satellite Sensors -- 20.4 Processing of Remote Sensing Satellite Images -- 20.4.1 Image Pre-processing -- 20.4.2 Image Processing -- 20.4.3 Image Post-Processing -- 20.5 Applications of Optical Remote Sensing -- 20.5.1 Land-Use and Land-Cover Mapping -- 20.5.2 Urban Vegetation Phenology -- 20.5.3 Urban Heat Island Mapping -- 20.5.4 Rock Outcrops Identification -- 20.6 Summary -- References -- 21 Urban Sensing with Spaceborne Interferometric Synthetic Aperture Radar -- 21.1 Synthetic Aperture Radar -- 21.2 Interferometric Synthetic Aperture Radar -- 21.3 Multi-temporal InSAR (MTInSAR) -- 21.4 Applications in Urban Areas -- 21.4.1 Construction of Fine Resolution DEM -- 21.4.2 Subsidence Measurement -- 21.4.3 Monitoring Stability of Infrastructures -- 21.5 Summary -- References -- 22 Airborne LiDAR for Detection and Characterization of Urban Objects and Traffic Dynamics -- 22.1 Introduction -- 22.2 Detection of Urban Objects with ALS and Co-registered Imagery -- 22.2.1 General Strategy -- 22.2.2 Feature Derivation -- 22.2.3 AdaBoost Classification -- 22.3 Detection of Urban Traffic Dynamics with ALS Data -- 22.3.1 Artifacts Effect of Vehicle Motion in ALS Data -- 22.3.2 Detection of Moving Vehicles -- 22.3.3 Concept for Vehicle Velocity Estimation with ALS Data -- 22.4 Experiments and Results -- 22.4.1 Detection of Urban Objects with ALS Data Associated with Aerial Imagery -- 22.4.2 Accuracy Prediction for Vehicle Velocity Estimation Using ALS Aata -- 22.5 Summary -- References -- 23 Photogrammetry for 3D Mapping in Urban Areas -- 23.1 Introduction -- 23.2 Fundamentals of Photogrammetry -- 23.2.1 Image Orientation -- 23.2.2 Bundle Adjustment -- 23.2.3 Image Matching -- 23.3 Advances in Photogrammetry for 3D Mapping in Urban Areas. 23.3.1 Structure from Motion and Multi-view Stereo. |
| Record Nr. | UNINA-9910473454103321 |
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Shi Wenzhong
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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