RE: The Multiple types of coverage requirement

Use case 4.18 (and probably 4.26) does involve the more complex grids and non-grid types e.g. TINs, 3D meshes, regular hexagonal grids. Not all of those are explicit in the use case description at the moment, but if necessary, in the next draft we could expand the list and I can find some examples to link to.

Cheers,
Rachel

________________________________
From: Alejandro Llaves [allaves@fi.upm.es]
Sent: 01 June 2015 14:16
To: Peter Baumann
Cc: Kerry Taylor; Frans Knibbe; SDW WG Public List
Subject: Re: The Multiple types of coverage requirement

Thanks, Peter! Are there URIs for these identifiers? If not, I think this may be work for the group's Coverage in Linked Data deliverable. For now, I can add them as examples for the Multiple types of coverage<http://w3c.github.io/sdw/UseCases/SDWUseCasesAndRequirements.html#MultipleTypesOfCoverage> requirement.

Cheers,
Alejandro

On 1 June 2015 at 14:49, Peter Baumann <p.baumann@jacobs-university.de<mailto:p.baumann@jacobs-university.de>> wrote:
Here is a classification by grid complexity, hope it helps somehow:

- just array, mapping is 1:1
    -> GridCoverage (GML 3.2.1)
- linear mapping from n-D array to n-D grid, g = a*x+b for a,b in R^n
    -> RectifiedGridCoverage
- linear mapping with g = A*x+b for A in R^n*n
    -> ReferenceableGridCoverage, byVector
- linear mapping from n-D array (x_n) to m-D grid (g_m), m>n: g_m = A * x_n + b for A in R^n*m
    ->ReferenceableGridCoverage, byArray
- nonaffine transformations, ex: Sensor geometries

(anybody disagreeing?)

One could classify along dimension axes (horizontal, vertical, time, ...) but the above one I believe is most helpful for the purpose on hand, and it also very much determines implementation complexity and dataset sizes (in particular: byArray approx. doubles data set size).

-Peter




On 05/31/15 09:35, Kerry.Taylor@csiro.au<mailto:Kerry.Taylor@csiro.au> wrote:
I am quite ok with the UCR expressed as it is, but I note that our use cases do not actually require very many of these multiple types and I suggest that we should look more closely at * which* of the multiple types we really need as we go progress. I would like to suggest that we make a note of this in the UCR, attached to this requirement, to prevent  the "multiple" being interpreted as"all that have ever been thought of" .

note- i am prepared to back down on the request for the note, as  I think argued almost contradictorily in the case of "multiple" applied to "multilingual" in last week's meeting. Although in that language case I saw no harm other than realism in attacking every conceivable language, but in the coverage case I think there is a risk of harm in confusion if we take  on too many, which is worse.

Kerry



On 29 May 2015, at 11:47 pm, "Peter Baumann" <p.baumann@jacobs-university.de<mailto:p.baumann@jacobs-university.de>> wrote:

Frans-

here a slate (not comprehensive, but likely covering all considered by W3C currently):
- gridded coverages:
    - by dimension: 1-D through 4-D (climate people also consider 5-D)
    - by grid type:
        - regular grid (equidistant spacing ("resolution"), such as ortho imagery)
        - irregular grids (grid lines have individual spacing per axis, such as timeseries often have)
        - warped grids (grid points sit anywhere in space, but still topologically isomorphic to a grid)
        - sensor grids (geo position of grid points determined by sensor model, usually some involved non-linear algorithm)
- non-gridded coverages:
    - point clouds
    - (rest likely not of interest here)

cheers,
Peter


On 05/29/15 14:36, Frans Knibbe wrote:
Hello Alejandro,

I am looking at the Multiple types of coverage<http://w3c.github.io/sdw/UseCases/SDWUseCasesAndRequirements.html#MultipleTypesOfCoverage> requirement now: "It should be possible to represent many different types of coverage."

Does this mean some kind of standard classification of coverage types is required, so the coverage type can be indicated in the metadata for example?

Or does this mean that there should be standard encodings for different coverage types?

Greetings,
Frans

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 - Professor of Computer Science, Jacobs University Bremen
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   mail: p.baumann@jacobs-university.de<mailto:p.baumann@jacobs-university.de>
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Received on Wednesday, 3 June 2015 12:59:06 UTC