The advancement of geospatial cyberinfrastructure and technology will enable high-performance GIS... more The advancement of geospatial cyberinfrastructure and technology will enable high-performance GISystems, provide smart and intelligent GIServices, and transform GIScience from a specialized scientific discipline into an important research domain bridging data science, computer science, and geography. There are four unstoppable trends in the future development of GISystems: (1) Web-based and Cloud-based GIS; (2) personalized data collection methods via mobile apps, drones, digital cameras, and portable LIDAR devices; (3) high-performance computing frameworks and dynamic data storage services; and (4) lightweight and responsive mapping application programming interfaces with lightweight geodata exchange formats. These new developments will facilitate new types of GIServices, including self-driving cars, smart transportation systems, and smart city applications. Intelligent web mapping services will provide 3D and real-time map display functions across various display devices. Location-based services will be improved by combining both outdoor positioning systems and indoor positioning systems. However, the spatial disparity of geospatial technology and the potential digital discrimination between rural and urban areas could trigger serious social problems and social unrest in the future.
International Journal of Geographical Information Science, Nov 4, 2015
ABSTRACT Personal trajectory data are increasingly collected for a variety of academic and recrea... more ABSTRACT Personal trajectory data are increasingly collected for a variety of academic and recreational pursuits. As access to location data widens and locations are linked to other information repositories, individuals become increasingly vulnerable to identification. The quality and precision of spatially linked attributes are essential to accurate analysis; yet, there is a trade-off between privacy and geographic data resolution. Obfuscation of point data, or masking, is a solution that aims to protect privacy and maximize preservation of spatial pattern. Trajectory data, with multiple locations recorded for an entity over time, is a strong personal identifier. This study explores the balance between privacy and spatial pattern resulting from two methods of obfuscation for personal GPS data: grid masking and random perturbation. These methods are applied to travel survey GPS data in the greater metropolitan regions of Chicago and Atlanta. The rate of pattern correlation between the original and masked data sets declines as the distance thresholds for masking increase. Grid masking at the 250-m threshold preserves route anonymity better than other methods and distance thresholds tested, but preserves spatial pattern least. This study also finds via linear regression that median trip speed and road density are significant predictors of trip anonymity.
International Journal of Geographical Information Science, May 24, 2016
Human dynamics is a term that has been used and investigated by researchers in various fields fro... more Human dynamics is a term that has been used and investigated by researchers in various fields from very different perspectives. Barabasi’s (2005) publication of ‘The origin of bursts and heavy tail...
The advancement of geospatial cyberinfrastructure and technology will enable high-performance GIS... more The advancement of geospatial cyberinfrastructure and technology will enable high-performance GISystems, provide smart and intelligent GIServices, and transform GIScience from a specialized scientific discipline into an important research domain bridging data science, computer science, and geography. There are four unstoppable trends in the future development of GISystems: (1) Web-based and Cloud-based GIS; (2) personalized data collection methods via mobile apps, drones, digital cameras, and portable LIDAR devices; (3) high-performance computing frameworks and dynamic data storage services; and (4) lightweight and responsive mapping application programming interfaces with lightweight geodata exchange formats. These new developments will facilitate new types of GIServices, including self-driving cars, smart transportation systems, and smart city applications. Intelligent web mapping services will provide 3D and real-time map display functions across various display devices. Location-based services will be improved by combining both outdoor positioning systems and indoor positioning systems. However, the spatial disparity of geospatial technology and the potential digital discrimination between rural and urban areas could trigger serious social problems and social unrest in the future.
International Journal of Geographical Information Science, Nov 4, 2015
ABSTRACT Personal trajectory data are increasingly collected for a variety of academic and recrea... more ABSTRACT Personal trajectory data are increasingly collected for a variety of academic and recreational pursuits. As access to location data widens and locations are linked to other information repositories, individuals become increasingly vulnerable to identification. The quality and precision of spatially linked attributes are essential to accurate analysis; yet, there is a trade-off between privacy and geographic data resolution. Obfuscation of point data, or masking, is a solution that aims to protect privacy and maximize preservation of spatial pattern. Trajectory data, with multiple locations recorded for an entity over time, is a strong personal identifier. This study explores the balance between privacy and spatial pattern resulting from two methods of obfuscation for personal GPS data: grid masking and random perturbation. These methods are applied to travel survey GPS data in the greater metropolitan regions of Chicago and Atlanta. The rate of pattern correlation between the original and masked data sets declines as the distance thresholds for masking increase. Grid masking at the 250-m threshold preserves route anonymity better than other methods and distance thresholds tested, but preserves spatial pattern least. This study also finds via linear regression that median trip speed and road density are significant predictors of trip anonymity.
International Journal of Geographical Information Science, May 24, 2016
Human dynamics is a term that has been used and investigated by researchers in various fields fro... more Human dynamics is a term that has been used and investigated by researchers in various fields from very different perspectives. Barabasi’s (2005) publication of ‘The origin of bursts and heavy tail...
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Papers by Ming-Hsiang Tsou