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Does anyone have any ideas how to record spatial and temporal resolution (or grid spacing) of a dataset?
It is a pretty important parameter to determine if a dataset might be fit for a purpose - would be good to have it in the metadata, rather than having to download and inspect the data.
The text was updated successfully, but these errors were encountered:
Great point, @dr-shorthair I'd like to know that as well. In ISO 19115* metadata, would we expect this in SpatialRepresentationInformation#MD_Dimension, and specifically in MD_Dimension.resolution and MD_Dimension.dimensionSize? Maybe those ontology terms could be exposed in the schema.org and DCAT worlds?
Looks like something to add in Experimental.md suggestions for Array, Gridded or Coverage Data. Currently the assumption there is for continuous values specified for the dimensions, but discrete coverages were overlooked. The ISO 19115-1 MD_Dimension class provides a template. It doesn't look like OpenDAPv4, DataCube, or DDI Multi-Dimensional Format deal with data that are gridded with discrete sampling for continuous dimensions. 19115-1 is focused on data that has spatial dimensions (MD_GridSpatialRepresentation), but we need a more general solution for which the gridded continuous dimension might be space, time, chemical composition, barometric pressure, temperature....
Does anyone have any ideas how to record spatial and temporal resolution (or grid spacing) of a dataset?
It is a pretty important parameter to determine if a dataset might be fit for a purpose - would be good to have it in the metadata, rather than having to download and inspect the data.
The text was updated successfully, but these errors were encountered: