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A spatiotemporal database embodies spatial, temporal, and spatiotemporal database concepts, and captures spatial and temporal aspects of data and deals with: Geometry changing over time and/or Location of objects moving over invariant geometry (known variously as moving objects databases [ 1 ] or real-time locating systems ).
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Geospatial metadata (also geographic metadata) is a type of metadata applicable to geographic data and information.Such objects may be stored in a geographic information system (GIS) or may simply be documents, data-sets, images or other objects, services, or related items that exist in some other native environment but whose features may be appropriate to describe in a (geographic) metadata ...
The dataset was created in 1985 by Jean-Patrick Girbig of Elf, to "standardize, improve and share spatial data between members of the European Petroleum Survey Group". [5] It was made public in 1993. [6] In 2005, the EPSG organisation was merged into International Association of Oil & Gas Producers (IOGP), and became the Geomatics Committee ...
The WKT format can describe not only geographic coordinate reference systems, but also geocentric, projected, vertical, temporal and engineering ones (for example a coordinate reference system attached to a boat). The standard describes how to combine those coordinate reference systems together.
Some forms of temporal data began to be supported in off-the-shelf GIS software by 2010. Several common models for representing time in vector and raster GIS data include: [28] The snapshot model (also known as time-stamped layers), in which an entire dataset is tied to a particular valid time. That is, it is a "snapshot" of the world at that time.
A coverage is the digital representation of some spatio-temporal phenomenon.ISO 19123 provides the definition: [a] feature that acts as a function to return values from its range for any direct position within its spatial, temporal or spatiotemporal domain
SaTScan can also be adapted and applied to certain astronomical studies, particularly those that involve analyzing spatial and temporal patterns in astronomical data. [ 2 ] [ 14 ] For example, SaTScan could identify clustering patterns in the distribution of galaxies or other astronomical objects, such as stars.