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Meysam Kazemi, Lakin Wecker and Faramarz Samavati
Geospatial data analysis often requires the computing of a distance transform for a given vector feature. For instance, in wildfire management, it is helpful to find the distance of all points in an area from the wildfire?s boundary. Computing a distance...
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Mingke Li, Heather McGrath and Emmanuel Stefanakis
Among the most prevalent natural hazards, flooding has been threatening human lives and properties. Robust flood simulation is required for effective response and prevention. Machine learning is widely used in flood modeling due to its high performance a...
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Yihang Chen, Zening Cao, Jinxin Wang, Yan Shi and Zilong Qin
In the process of global information construction, different fields have built their own discrete global grid systems (DGGS). With the development of big data technology, data exchange, integration, and update have gradually become a trend, as well as th...
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Qingmei Li, Xin Chen, Xiaochong Tong, Xuantong Zhang and Chengqi Cheng
In order to cope with the rapid growth of spatiotemporal big data, data organization models based on discrete global grid systems have developed rapidly in recent years. Due to the differences in model construction methods, grid level subdivision and cod...
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Jinxin Wang, Yan Shi, Zilong Qin, Yihang Chen and Zening Cao
Three-dimensional (3D) buffer analysis is among the basic functions of 3D spatial analysis, and it plays an important role in 3D geographic information systems. The rapid development of the 3D Discrete Global Grid System (DGGS) provides a new method for ...
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David Bowater and Monica Wachowicz
With the huge volume of location-based point data being generated by Internet of Things (IoT) devices and subsequent rising interest from the Digital Earth community, a need has emerged for spatial operations that are compatible with Digital Earth framew...
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John Hall, Lakin Wecker, Benjamin Ulmer and Faramarz Samavati
The amount of information collected about the Earth has become extremely large. With this information comes the demand for integration, processing, visualization and distribution of this data so that it can be leveraged to solve real-world problems. To a...
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Liangchen Zhou, Wenjie Lian, Yudi Zhang and Bingxian Lin
Topological distortion seriously affects spatial cognition. To solve this problem caused by the integration of vector features in discrete global grid systems (DGGs), a topology-preserving gridding method for vector features is proposed. The method propo...
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Benjamin Ulmer, John Hall and Faramarz Samavati
Geospatial sensors are generating increasing amounts of three-dimensional (3D) data. While Discrete Global Grid Systems (DGGS) are a useful tool for integrating geospatial data, they provide no native support for 3D data. Several different 3D global grid...
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Rui Wang, Jin Ben, Jianbin Zhou and Mingyang Zheng
Discrete global grid systems (DGGSs) are an emerging multiresolution 3D model used to integrate and analyze big earth data. The characteristic of multiresolution is usually realized by hierarchically subdividing cells on the sphere using certain refineme...
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