2009 · 11 citations · 3 references
ComputingGeoinformaticsGeographic Information SystemsSpatial AnalysisSpatial Data Analysis3D ReconstructionGrid GenerationSpatial PartitioningData OrganizationGrid-based Spatial RepresentationHierarchical Spatial DecompositionHigh PerformanceOctreesSpatial Subdivision AlgorithmsSubdivisionThree-dimensional Spatial Data Models
Map projections had brought a lot of problems to regional and global spatial data organization and representation, such as distortion, geometric fissure and space metric error. Fortunately, Discrete Global Grid (DGG) gave a feasible solution, but it was only confined to the Earth surface, not reached to the Earth inside and outside, which was also very important to human activity. In this paper, a global three-dimensional (3D) grid, called as Spheoid Degenerated Octree Grid (SDOG), was presented, and two kinds of coding methods for SDOG, called as SDZ and MDZ, were proposed. The properties of SDOG were discussed and the performance of SDZ and MDZ was compared with QuaPA experimentally. It revealed that SDOG is a 3D grid with properties of global continuity, multi-hierarchy, similar shape and approximate size, and can serve well for global spatial data organizing and representing; SDZ and MDZ are high performance coding methods, and MDZ is a nicer choice for SDOG coding.
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Comparing Geometrical Properties of Global Grids
Jon A. Kimerling, Kevin Sahr, Denis White et al. · Cartography and Geographic Information Science · 1999 · 122 citations