The best of two (but there would be a bit of overhead for the algorithm):
set them to null as soon as two different values are found, keep the first
encountered value otherwise (all the features with same value).

giovanni



2017-06-28 10:16 GMT+02:00 Anita Graser <[email protected]>:

>
>
> On Wed, Jun 28, 2017 at 9:53 AM, Nyall Dawson <[email protected]>
> wrote:
>>
>> Incidentally - how should we handle attributes here (and other similar
>> algorithms)? Take the first feature's attributes? Drop all attributes?
>>
>>
> ​I would take the first feature's attributes because I've seen multiple
> times that input datasets for aggregation algorithms (such as hulls,
> dissolve, ...) are prepared in a way that the result represents a certain
> class, e.g. all points where column "type" value is 'tree'. Why should we
> delete the 'tree' value then ... ​
>
> Best wishes,
> Anita
>
>
>
>
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