|
|
|
|
|
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 ...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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 ...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Li Meng, Xiaochong Tong, Shuaibo Fan, Chengqi Cheng, Bo Chen, Weiming Yang and Kaihua Hou
Based on the analysis of the problems in the generation algorithm of discrete grid systems domestically and abroad, a new universal algorithm for the unit duplication of a polyhedral discrete grid is proposed, and its core is ?simple unit replication + e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kun Qi, Chengqi Cheng, Yi?na Hu, Huaqiang Fang, Yan Ji and Bo Chen
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Martin Breunig, Patrick Erik Bradley, Markus Jahn, Paul Kuper, Nima Mazroob, Norbert Rösch, Mulhim Al-Doori, Emmanuel Stefanakis and Mojgan Jadidi
Without geospatial data management, today?s challenges in big data applications such as earth observation, geographic information system/building information modeling (GIS/BIM) integration, and 3D/4D city planning cannot be solved. Furthermore, geospatia...
ver más
|
|
|
|
|
|