TY - JOUR
T1 - Spatial dimensions of big data
T2 - Application of geographical concepts and spatial technology to the internet of things
AU - van der Zee, Erik
AU - Scholten, Henk
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Geography can be considered an important binding principle in the Internet of Things, as all physical objects and the sensor data they produce have a position, dimension, and orientation in space and time, and spatial relationships exist between them. By applying spatial relationships, functions, and models to the spatial characteristics of smart objects and the sensor data, the flows and behaviour of objects and people in Smart Cities can be more efficiently monitored and orchestrated. In the near future, billions of devices with location—and other sensors and actuators become internet connected, and Spatial Big Data will be created. This will pose a challenge to real-time spatial data management and analysis, but technology is progressing fast, and integration of spatial concepts and technology in the Internet of Things will become a reality.
AB - Geography can be considered an important binding principle in the Internet of Things, as all physical objects and the sensor data they produce have a position, dimension, and orientation in space and time, and spatial relationships exist between them. By applying spatial relationships, functions, and models to the spatial characteristics of smart objects and the sensor data, the flows and behaviour of objects and people in Smart Cities can be more efficiently monitored and orchestrated. In the near future, billions of devices with location—and other sensors and actuators become internet connected, and Spatial Big Data will be created. This will pose a challenge to real-time spatial data management and analysis, but technology is progressing fast, and integration of spatial concepts and technology in the Internet of Things will become a reality.
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U2 - 10.1007/978-3-319-05029-4_6
DO - 10.1007/978-3-319-05029-4_6
M3 - Article
AN - SCOPUS:84927130342
SN - 1860-949X
VL - 546
SP - 137
EP - 168
JO - Studies in Computational Intelligence
JF - Studies in Computational Intelligence
ER -