Modeling and Expression of Vector Data in the Hexagonal Discrete Global Grid System

11 citations as recorded by crossref.

1. GIScience research challenges for realizing discrete global grid systems as a Digital Earth M. Hojati et al. 10.1080/20964471.2021.2012912
2. Big spatial vector data management: a review X. Yao & G. Li 10.1080/20964471.2018.1432115
3. Mapping crime – Hate crimes and hate groups in the USA: A spatial analysis with gridded data M. Jendryke & S. McClure 10.1016/j.apgeog.2019.102072
4. R-MLGTI: A Grid- and R-Tree-Based Hybrid Index for Unevenly Distributed Spatial Data Y. Li et al. 10.3390/ijgi14060231
5. A Universal Generating Algorithm of the Polyhedral Discrete Grid Based on Unit Duplication L. Meng et al. 10.3390/ijgi8030146
6. A robust object-based shadow detection method for cloud-free high resolution satellite images over urban areas and water bodies N. Tatar et al. 10.1016/j.asr.2018.03.011
7. Organizing, Transmitting, and Accessing Vector Data in DGGS Based on Progressive Tile Structure S. Zheng et al. 10.1111/tgis.13302
8. Hexagon-based adaptive hierarchies for efficient point-in-spherical-polygon tests on GPUs J. Li et al. 10.1080/13658816.2023.2284908
9. Geospatial Operations of Discrete Global Grid Systems—a Comparison with Traditional GIS M. Li & E. Stefanakis 10.1007/s41651-020-00066-3
10. A Blocky and Layered Management Schema for Remote Sensing Data B. Yang et al. 10.1109/ACCESS.2020.2997519
11. Ocean surface currents estimated from satellite remote sensing data based on a global hexagonal grid W. Wang et al. 10.1080/17538947.2023.2192003