Spatial Computing

Description

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. 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