RE: The model reuse requirement

However, we also need to be careful to fully understand the scope of the components that we reuse.



For example, the OGC Coverages model that Peter refers to relates particularly to gridded coverages (imagery). It does not support some other important coverage-types and common representations. For example, a Time-series is a coverage (it is the variation of a property along one spatio-temporal axis). In environmental monitoring applications it is usually represented as a stream of interleaved position(i.e. time)-value(,value(,value...)) objects. This is not compatible with the current OGC Coverages standard. So while OGC Coverages provides a good solution for grids, it doesn't cover the whole space.


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________________________________
From: Peter Baumann [p.baumann@jacobs-university.de]
Sent: Friday, 29 May 2015 11:39 PM
To: Frans Knibbe; Alejandro Llaves
Cc: SDW WG Public List
Subject: Re: The model reuse requirement

Frans,

me again;
not sure that we should mention some particular model; if so we might be more comprehensive - at least, as coverages are in focus, the OGC coverage model should be referenced: OGC document 09-146r2, link: https://portal.opengeospatial.org/files/?artifact_id=48553 available from this page: http://www.opengeospatial.org/standards/wcs .

-Peter


On 05/29/15 14:24, Frans Knibbe wrote:
Hello Alejandro,

I think the model reuse requirement<http://w3c.github.io/sdw/UseCases/SDWUseCasesAndRequirements.html#ModelReuse> could do with some clarification. Currently it reads "Spatial data modelling issues solved in existing models shall be considered for adoption, e.g. O&M or SoilML".


  *   What kind of spatial data modelling issues are solved in existing models? Is it possible to give an example?
  *   Could references to O&M and SoilML be added?
  *   Do you think this could actually be the same requirement as the Compatibility with existing practices<http://w3c.github.io/sdw/UseCases/SDWUseCasesAndRequirements.html#Compatibility> requirement?

Regards,
Frans

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