"This book explores in a systematic way the themes of big data and the spatial analysis, with theoretical and operative recommendations for urban planning. It also brings together different work methodologies that combine the potential of large data analysis with GIS applications in dedicated tools specifically for sectoral, territorial, environmental, transport, energy, real estate and landscape assessment"--.

• Title Page
• Copyright Page
• Book Series
• Editorial Advisory Board
• Table of Contents
• Detailed Table of Contents
• Preface
• Acknowledgment
• Introduction
• Section 1: Building Spatial Knowledge
  • Chapter 1: Towards Knowledge-Based Spatial Planning
  • Chapter 2: Modelling and Assessing Spatial Big Data
  • Chapter 3: Big Data and High-Performance Analyses and Processes
  • Chapter 4: IoT Platforms and Technologies Driving Spatial Planning and Analytics
  • Chapter 5: The Walkability of the Cities
• Section 2: Supporting Territorial and Environmental Evaluation
  • Chapter 6: Defining Energy Criteria in the Absence of Open Data
  • Chapter 7: Can Big Data Support Smart(er) Evaluation?
  • Chapter 8: Ecosystem Service Evaluation for Landscape Planning Policies
• Section 3: Strengthening Territorial Awareness and Social Learning
  • Chapter 9: Semantic Spatial Representation and Collaborative Mapping in Urban and Regional Planning
  • Chapter 10: Researching and Enabling Youth Geographies in the Digital and Material City
  • Chapter 11: A Territorial Dimension Can Be Useful for Managing Long-Term Regional Road Safety
  • Chapter 12: Defining Urban Planning Strategy Through Social Media Application
  • Chapter 13: A Planning Model for Cognitive Cities
• Conclusion
• Compilation of References
• About the Contributors
• Index