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A coverage is the digital representation of some spatio-temporal phenomenon. ISO 19123 provides the definition: Coverages play an important role in geographic information systems (GIS), geospatial content and services, GIS data processing, and data sharing. A coverage is represented by its "domain" (the universe of extent) and a collection representing the coverage's values at each defined location within its range. For example, a satellite image derived from remote sensing might record varying degrees of light pollution. Aerial photography, land cover data, and digital elevation models all provide coverage data. Generally, a coverage can be multi-dimensional, such as 1-D sensor timeseries, 2-D satellite images, 3-D x/y/t image time series or x/y/z geo tomograms, or 4-D x/y/z/t climate and ocean data. However, coverages are more general than just regularly gridded imagery. The corresponding standards (see below) address regular and irregular grids, point clouds, and general meshes. An interoperable service definition for navigating, accessing, processing, and aggregation of coverages is provided by the Open Geospatial Consortium (OGC) Web Coverage Service (WCS) suite and Web Coverage Processing Service (WCPS), a spatio-temporal coverage query language.
References
- Topic 6 - Schema for coverage geometry and functions, OGC 07-011 http://portal.opengeospatial.org/files/?artifact_id=19820
- OGC GML Application Schema - Coverages, OGC 09-146r2 https://portal.opengeospatial.org/files/?artifact_id=48553
- OpenGIS Geography Markup Language (GML) Encoding Standard, OGC 07-036 http://portal.opengeospatial.org/files/?artifact_id=20509
- "Data Harmonization - GEOSS AIP-3 Contribution". 2010. doi:10.13140/RG.2.1.1840.4569. http://www.thegigasforum.eu/cgi-bin/download.pl?f=545.pdf. Retrieved 2016-01-27.
- Zeiler, Michael. Modeling Our World, The ESRI Guide to Geodatabase Design. ESRI Press, 1999. ISBN:1-879102-62-5
- Baumann, P.; Jucovschi, C.; Stancu-Mara, S.: Efficient Map Portrayal Using a General-Purpose Query Language (A Case Study). DEXA 2009, August 31 - September 04, 2009, Vienna, Austria, Springer Berlin/Heidelberg, LNCS 5690, pp. 153-163 http://www.springerlink.com/content/5l63816622204711/
- Jucovschi, C., Baumann, P., Stancu-Mara, S.: Speeding up Array Query Processing by Just-In-Time Compilation. IEEE Intl Workshop on Spatial and Spatiotemporal Data Mining (SSTDM-08), Pisa, Italy, 15 December 2008, pp. 408 - 413 http://www.informatik.uni-trier.de/~ley/db/conf/icdm/icdmw2008.html#JucovschiBS08
