On Wed, Jun 28, 2017 at 9:53 AM, Nyall Dawson <nyall.daw...@gmail.com> 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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