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Aleksandar Dimitrijevic, Aleksandar Milosavljevic and Dejan Rancic
The rapid growth in Earth?s global geospatial data necessitates an efficient system for organizing the data, facilitating data fusion from diverse sources, and promoting interoperability. Mapping the spheroidal surface of the planet presents significant ...
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Xiaochuang Yao, Guojiang Yu, Guoqing Li, Shuai Yan, Long Zhao and Dehai Zhu
The advent of the era of big remote sensing data has transformed traditional data management and analysis models, among which visualization analysis has gradually become an effective method, and map tiles for remote sensing data have always played an imp...
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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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Yalu Li, Xuesheng Zhao, Wenbin Sun, Guangsong Wang, Fuli Luo, Zheng Wang and Yuanzheng Duan
DGGS (Discrete Global Grid System) has many subdivision models and coding methods. Due to the lack of underlying consistency of different DGGS codes, most of them are converted through longitude?latitude, which greatly reduces the interoperability effici...
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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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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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Zheng Wang, Xuesheng Zhao, Wenbin Sun, Fuli Luo, Yalu Li and Yuanzheng Duan
Although a Discrete Global Grid (DGG) is uniform in its initial subdivision, its geometric deformation increases with the level of subdivisions. The Goodchild Criteria are often used to evaluate the quality of DGGs. However, some indicators in these crit...
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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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Jianbin Zhou, Jin Ben, Rui Wang, Mingyang Zheng and Lingyu Du
Hexagonal discrete global grid systems are the preferred data models supporting multisource geospatial information fusion. Related research has aroused widespread concern in the academic community, and hierarchical indexing algorithms are one of the main...
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