Partition of Earth's surface into subdivided cells
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Geodesy
Fundamentals
Geodesy
Geodynamics
Geomatics
History
Concepts
Geographical distance
Geoid
Figure of the Earth (radius and circumference)
Geodetic coordinates
Geodetic datum
Geodesic
Horizontal position representation
Latitude / Longitude
Map projection
Reference ellipsoid
Satellite geodesy
Spatial reference system
Spatial relations
Vertical positions
Technologies
Global Nav. Sat. Systems (GNSSs)
Global Pos. System (GPS)
GLONASS (Russia)
BeiDou (BDS) (China)
Galileo (Europe)
NAVIC (India)
Quasi-Zenith Sat. Sys. (QZSS) (Japan)
Discrete Global Grid and Geocoding
Standards (history)
NGVD 29
Sea Level Datum 1929
OSGB36
Ordnance Survey Great Britain 1936
SK-42
Systema Koordinat 1942 goda
ED50
European Datum 1950
SAD69
South American Datum 1969
GRS 80
Geodetic Reference System 1980
ISO 6709
Geographic point coord. 1983
NAD 83
North American Datum 1983
WGS 84
World Geodetic System 1984
NAVD 88
N. American Vertical Datum 1988
ETRS89
European Terrestrial Ref. Sys. 1989
GCJ-02
Chinese obfuscated datum 2002
Geo URI
Internet link to a point 2010
International Terrestrial Reference System
Spatial Reference System Identifier (SRID)
Universal Transverse Mercator (UTM)
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A discrete global grid (DGG) is a mosaic that covers the entire Earth's surface.
Mathematically it is a space partitioning: it consists of a set of non-empty regions that form a partition of the Earth's surface.[1] In a usual grid-modeling strategy, to simplify position calculations, each region is represented by a point, abstracting the grid as a set of region-points. Each region or region-point in the grid is called a cell.
When each cell of a grid is subject to a recursive partition, resulting in a "series of discrete global grids with progressively finer resolution",[2] forming a hierarchical grid, it is called a hierarchical DGG (sometimes "global hierarchical tessellation"[3]
or "DGG system").
Discrete global grids are used as the geometric basis for the building of geospatial data structures. Each cell is related with data objects or values, or (in the hierarchical case) may be associated with other cells. DGGs have been proposed for use in a wide range of geospatial applications, including vector and raster location representation, data fusion, and spatial databases.[1]
The most usual grids are for horizontal position representation, using a standard datum, like WGS84. In this context, it is common also to use a specific DGG as foundation for geocoding standardization.
In the context of a spatial index, a DGG can assign unique identifiers to each grid cell, using it for spatial indexing purposes, in geodatabases or for geocoding.
^ abSahr, Kevin; White, Denis; Kimerling, A.J. (2003). "Geodesic discrete global grid systems" (PDF). Cartography and Geographic Information Science. 30 (2): 121–134. doi:10.1559/152304003100011090. S2CID 16549179.
^Sahr, Kevin; White, Denis; Kimerling, A.J. (18 March 1997), "A Proposed Criteria for Evaluating Discrete Global Grids", Draft Technical Report, Corvallis, Oregon: Oregon State University, archived from the original on 3 March 2016, retrieved 10 September 2014
^
Geoffrey Dutton.
"What's the big deal about global hierarchical tessellation?".
quote: "a few prototype systems that are either hierarchical tessellations, global tessellations, or both".
and 26 Related for: Discrete global grid information
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