[Imports] United States Poultry Import

[Martin Koppenhoefer]

Am Fr., 22. Apr. 2022 um 14:13 Uhr schrieb Greg Troxel <gdt at lexort.com>:

> When that answer is around 98% right, imports seem ok.  Even 90% right
> is way too low.  This means the database has to be recent relative to
> the rate of change.
>


it really depends on the kind of problems. For example, typos in road names
are not nice, but much less important than for example roads or paths that
do not exist. If from 100 roads 2 would not exist (98% correct), it would
not be wise to add the data with the errors, but if from 100 streets 2 have
small typos in their names, it would be acceptable (IMHO). For hiking, you
would probably be much happier with a few paths that are sure to exist
(like 10% of all existing paths in the area), compared to a map with too
many paths, where you might rely on a connection that is nonexistent and
you discover 1 hour before sunset that you will have to backup and will
arrive 3 hours later than you thought ;-)



>
> As an example MassDOT street data was imported in massachusetts.  In my
> town, I've found one street that was in the database but has never
> existed, and one street that was misnamed.  And a few where there are
> slightly different forms of name and I as a local still am not sure
> which is right.  Everything else was basically right in terms of
> geometry and names.  So I consider that a huge win, and I was happy to
> fix the minor issues.
>
>

I generally agree with what you wrote, but would like to add to it, because
IMHO these experiences are not comparable to the import we are discussing
here.

importing "in your town", with the motivation to check and fix problems, is
very different from performing a nationwide import, where you are sure that
you cannot verify most of it on the ground. You may be able to do local
checks, or remote checks via websearch and similar, but even if your local
checks seem to indicate the data is ok, it may well be that it is much
worse in a different state and that there are systematic problems related
to how the dataset was compiled (there may be different sources in
nationwide datasets)

Cheers,
Martin
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