CoverageJSON has been demonstrated to be an effective, efficient format, friendly to web and application developers.
The Open Geospatial Consortium (OGC) is considering CoverageJSON for adoption as an official OGC Community Standard. A new Work Item Justification to begin the Community Standard endorsement process is available for public comment. Comments are due by July 25, 2021.
CoverageJSON is a simple, human- and machine-readable format for publishing spatio-temporal data to the Web. It is used for encoding coverage data such as multi-dimensional grids, time series, and vertical profiles, distinguished by the geometry of their spatio-temporal domain.
The CoverageJSON format supports the efficient download of useful quantities of data from datastores to lightweight clients, such as browsers and mobile applications. It allows local manipulation of the data in a format familiar to, and popular with, web developers, and that is readily usable by e.g. science researchers. It uses linked-data (JSON-LD) to reduce data payload volumes.
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OGC considering CoverageJSON as community standard; seeks public comment
Friday, June 25th, 2021CoverageJSON has been demonstrated to be an effective, efficient format, friendly to web and application developers.
The Open Geospatial Consortium (OGC) is considering CoverageJSON for adoption as an official OGC Community Standard. A new Work Item Justification to begin the Community Standard endorsement process is available for public comment. Comments are due by July 25, 2021.
CoverageJSON is a simple, human- and machine-readable format for publishing spatio-temporal data to the Web. It is used for encoding coverage data such as multi-dimensional grids, time series, and vertical profiles, distinguished by the geometry of their spatio-temporal domain.
The CoverageJSON format supports the efficient download of useful quantities of data from datastores to lightweight clients, such as browsers and mobile applications. It allows local manipulation of the data in a format familiar to, and popular with, web developers, and that is readily usable by e.g. science researchers. It uses linked-data (JSON-LD) to reduce data payload volumes.
(more…)
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