Hi Thomas,

Some ideas for you

Another way of doing this import is to break it up by feature type.
For example, if the location data is very accurate (say < 15 meter
uncertainty), then you can run a fully automated import of the lake
names. For each lake name in the source database, see if we have a
lake under it in OSM, if yes put your tags into it, else add a point
feature with your tags. I am planning a similar import of just lake
names in Massachusetts this fall. The code to do both imports would be
90% the same.

Then for the rivers, you could do a http://maproulette.org/

Perhaps, picking off specific features, you can get the manual
conflation count down to something that you can grind through in a 6
months. You don't want to get half way through it and get sick of it,
and stop.

Thanks
Jason.


On Mon, Jul 15, 2013 at 2:16 AM, Thomas Hirsch
<[email protected]> wrote:
> Hi Jason –
>
>
>
> I hope it’s ok if I CC to the mailing list, it sounds like you intended to
> post there.
>
>
>
>> - Use the semicolon separator on alt_name to get all of your alternate
>> names in.
>
>
>
> Ok, that would be a better option to what Karl Ove suggested. I was just
> uncertain because a lot of renderers do not interpret semicolons in name and
> basic type tags. But I guess it’s the renderers which should learn.
>
>
>
>> - You should definitely use offical_name tag in addition to the name tag.
>> […] and we can correct them via the name tag, leaving the offical_name
>> alone.
>
>
>
> Sounds like a plan.
>
>
>
>> - 900.000 points is a lot of points, I think you need to get some
>> automation going. How long do you think this import is going to take given
>> the current team size?
>
>
>
> I was able to conflate 4k in four days, tracing complex geometries (lakes,
> rivers) along the way. That was in a kommune with good aerial coverage.
>
> Yes, 900 person-days are a lot of work, but at the same time, this will seed
> 900k of the most important places in the country (most of them are not on
> the map at all), so I think it’s best to establish the procedure and allow
> people to map the features at the same time. It’s a big difference
> motivationally whether you are tracing millions of lakes in the Norwegian
> hinterland, or whether you suddenly are tracing named bodies of water in the
> mountains. ;)
>
>
>
> We haven’t had a proper hand count for the team size yet. If we reach ten
> people, it may be ninety days. If we stay at two it’s an open process.
> Anyway, in areas of missing or low resolution aerial coverage, not all names
> can be imported, unless as a node (or note), so the process will
> continue/repeat every time the coverage improves.
>
>
>
>> - Have you tried using the conflation plugin with some test data, I am not
>> sure how well it will work for this application.
>
>
>
> We are in process of testing the conflation plugin, and I have a few API
> scripts adapted to the task which identify candidate features and allow to
> conflate. (https://github.com/relet/ssr) We will evaluate what works best
> for us.
>
>
>
>> - Are you sure the factsheet URL is going to be stable?
>
>
>
> I’m a bit worried about it. It should, and the people behind it are aware of
> the issue, but you never know about the next generation. Linked open data is
> not a well-established concept in people’s heads. Then, if nothing breaks
> when URL change, change remains acceptable.
>
>
>
>> - how accurate are the source positions? If they are very accurate, say <
>> 4 meters, then the automation will be easy. If the uncertainty is 150
>> meters, its is going to be a lot work regardless of how you do it.
>
>
>
> The positions are very accurate.
>
>
>
>> - Just an FYI, we did a similar import in the US.
>> http://wiki.openstreetmap.org/wiki/GNIS
>
>
>
> Thank you so much! I had been looking for how imports (and more importantly,
> continuous synchronization) are handled in similar cases. If I understand
> correctly, GNIS is not updated, or does the survey group just have no means
> to identify outdated names?
>
>
>
> If anyone has good examples for how continuous imports/geosynchronization
> are handled as opposed to one-time imports, I’d be very curious about that.

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