Cybergis-enabled urban sensing from volunteered citizen participation using mobile devices

Keyphrases

• Mobile Devices 100%
• Citizen Participation 100%
• CyberGIS 100%
• Urban Sensing 100%
• Big Data 66%
• Environmental Pollution 66%
• Urban Setting 66%
• High Performance 33%
• Data Management 33%
• Noise Level 33%
• Well-being 33%
• Unstructured Data 33%
• Sensor Networks 33%
• Crowdsourcing 33%
• Urban Environment 33%
• Map-based 33%
• Mobile Application 33%
• Air Quality 33%
• Interactive Visual Analytics 33%
• Sensing Framework 33%
• Environmental Measurements 33%
• Urban Pollution 33%
• Surveyor 33%
• Graphics Processing Unit 33%
• Database Schema 33%
• Geotag 33%
• Use Case Scenario 33%
• Sensor Measurement 33%
• Kernel Smoothing 33%
• Smoothing Algorithm 33%
• Urban Data 33%
• MapReduce 33%
• Legal Implications 33%
• Pollution Factor 33%
• Analytical Workflow 33%
• Urban Environmental 33%
• MongoDB 33%
• Citizen Sensors 33%
• Advanced Cyberinfrastructure 33%
• Computational Infrastructure 33%
• Citizens' Health 33%

Computer Science

• Citizen Participation 100%
• Mobile Device 100%
• Big Data 66%
• Data Management 33%
• Cyberinfrastructure 33%
• Use Case 33%
• Mobile Application 33%
• Visual Analytics 33%
• Database Schema 33%
• Sensor Measurement 33%
• Urban Environment 33%
• Map-Reduce 33%
• Graphics Processing Unit 33%
• Smoothing Kernel 33%
• Smoothing Algorithm 33%
• MongoDB 33%
• Sensor Network 33%
• Interactivity 33%
• Collaboration 33%