Thanks for all your replies!

On Wed, 7 Nov 2018 at 10:01, Matthias Kuhn <[email protected]> wrote:

> The closest you can get using a single table is using array typed fields,
> but beware of editing data, nothing will prevent you from corrupting the
> data and having geometry and attributes out of sync.
>
> Other approaches are having a separate point layer with the vertices
> duplicated or a linear referencing table.
>
> Cheers
>
> Matthias
> On 11/7/18 5:34 AM, Idan Miara wrote:
>
> Hi,
> Thanks for your response!
> Please note that the extra info is per vertex and the features are
> multipolylines for instance. Think a file of airplane paths, so you have 6
> dims per vertex and some attributes per path feature.
>
> On Wed, 7 Nov 2018, 05:34 Nicolas Cadieux <[email protected]
> wrote:
>
>> Hi,
>>
>> Well I believe the simple .csv file is not the fastest but will give you
>> the most flexibility if you have a massive amount of data.   I have been
>> working with hyper spectral cloud data.
>>
>> Nicolas
>>
>> > Le 6 nov. 2018 à 21:09, Alex Mandel <[email protected]> a
>> écrit :
>> >
>> >> On 11/6/18 12:54, Idan Miara wrote:
>> >> Hi,
>> >>
>> >> What would be the OGR or the portable way for handling vector data with
>> >> more than 4 dimensions?
>> >> i.e. xyz+time+velocity+acceleration for each vertex.
>> >>
>> >> Kind regards,
>> >> Idan
>> >>
>> >>
>> >
>> > Attribute tables. Make XYZ geometries and put all your other stuff into
>> > attributes.
>> >
>> > Enjoy,
>> > Alex
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> --
> Matthias Kuhn
> [email protected]
> +41 (0)76 435 67 63 <+41764356763>
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