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* [[Usuário:Peter/Entrega2024-06grid]]
* [[Usuário:Peter/Entrega2024-06grid]]


== Referencias para aplicações ==
* [https://locationindex.s3-ap-southeast-2.amazonaws.com/Implementation++DGGS+v0.1.pdf Paper 2. Detailed technical documentation -  Discrete Global Grid System Technologies and their Application under Loc-I].
** "Tightly coupled DGGS Integration by Cell Index" vs "Loosely coupled DGGS Integration by DGGS Cell Index" vs "Loosely coupled DGGS Integration by DGGS Query".
** "DGGS enabling tools"
** "B.2 DGGS are Not Just for Raster Data". Figure 8 – representation of points, polylines and polygons in a DGGS. This can be done in either a tightly, or loosely coupled fashion. In the tightly coupled approach data is stored within DGGS cell objects either as “Data Cells” (where one observation is stored per cell) or as “Data Tiles” (where many observations are aggregated and “clipped” to an individual DGGS Cell).<br/> Figure 9 – Schematic diagram highlighting how DGGS infrastructures are capable of bridging the “Raster-Vector” divide.
** (RDF) "C.3 Building Triple Store Databases for Prototyping DGGS Integration" ... Datasets. In addition, triple store databases have been created for the Placenames, DEM and population datasets to facilitate and demonstrate the ability (and benefits) of using a DGGS as the spatial data integrator within a Linked Data context.
** "B.4 The Impact of Dynamic Datums on DGGS". Dynamic Datums, and the requirement to fully describe and encode the “coordinateEpoch” information associated with a Dynamic CRS (e.g. WGS84 or ITRF) is an issue that is affecting the spatial industry as a whole. Consequently, there have been concerns raised regarding the flow-on impact of this on DGGS.
** Figs 11 and 12 – Example of DGGS Cell pyramid coverage of a polygon... showing the centroids of the DGGS Cells.


== Imagens==
== Imagens==
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