Spatial Computing

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An accessible guide to the ideas and technologies underlying such applications as GPS, Google Maps, Pokémon Go, ride-sharing, driverless cars, and drone surveillance. Billions of people around the globe use various applications of spatial computing daily―by using a ride-sharing app, GPS, the e911 system, social media check-ins, even Pokémon Go. Scientists and researchers use spatial computing to track diseases, map the bottom of the oceans, chart the behavior of endangered species, and create election maps in real time. Drones and driverless cars use a variety of spatial computing technologies. Spatial computing works by understanding the physical world, knowing and communicating our relation to places in that world, and navigating through those places. It has changed our lives and infrastructures profoundly, marking a significant shift in how we make our way in the world. This volume in the MIT Essential Knowledge series explains the technologies and ideas behind spatial computing. The book offers accessible descriptions of GPS and location-based services, including the use of Wi-Fi, Bluetooth, and RFID for position determination out of satellite range; remote sensing, which uses satellite and aerial platforms to monitor such varied phenomena as global food production, the effects of climate change, and subsurface natural resources on other planets; geographic information systems (GIS), which store, analyze, and visualize spatial data; spatial databases, which store multiple forms of spatial data; and spatial statistics and spatial data science, used to analyze location-related data.natural resources on other planets; geographic information systems (GIS), which store, analyze, and visualize spatial data; spatial databases, which store multiple forms

Author(s): Shashi Shekhar; Pamela Vold
Series: The MIT Press Essential Knowledge
Publisher: MIT Press
Year: 2019

Language: English
Pages: xvi+240

Contents
Series Foreword
Preface
Acknowledgments
1: What Is Spatial Computing?
Why Spatial?
Significant Applications
Spatial Data and Algorithms
Transforming through Speed and Scale
2: Where Am I? Positioning, Outdoors and Indoors
History and Background: Where Am I?
A Working GPS System
Other GNSS Systems
Applications for GPS in the United States and around the World
Limitations and Concerns
Future Directions
Conclusion
3: What’s There? Remote Sensing
Background
A Working Remote-Sensing System
Applications
Limitations and Trends
Future Directions
Conclusion
4: Geographic Information Systems and Cartography
Background
Geographic Information Systems—How They Work
Applications
Limitations and Concerns
Future Directions
Conclusion
5: Spatial Databases
Background
How It Works
Applications
Limitations and Concerns
Future Directions
Conclusion
6: Spatial Data Science
Background
How It Works
Location-Prediction Model
Hot Spots
Global Outliers and Spatial Outliers
Colocations and Co-occurrences
Limitations and Concerns
Future Directions
Conclusion
7: The Future of Spatial Computing
Policy and Power
Glossary
Bibliography
Further Reading
Index