Hi there! We are ready to import new changesets. All POI was checked
manually.
The tags "geocode_address" and "user_address" for internal use only: we
will not import them
https://osm.rocketdata.io/project/create_150_1
https://osm.rocketdata.io/project/create_150_2
https://osm.rocketdata.io/project/create_150_4
https://osm.rocketdata.io/project/create_150_5
https://osm.rocketdata.io/project/create_150_6
https://osm.rocketdata.io/project/create_150_7
Thank you!
30.05.2019 17:35, Fedor Zubrytski пишет:
now its ok
https://osm.rocketdata.io/project/create_coffee_like_20190529
https://osm.rocketdata.io/project/update_coffee_like_20190529
<https://osm.rocketdata.io/project/update_coffee_like_20190529>
28.05.2019 16:05, Fedor Zubrytski пишет:
Thank you!
The tags "geocode_address" and "user_address" are confusing and should
be dropped. Instead, if you can, use the standard "addr:street",
"addr:housenumber", "addr:city" and so on.
This tags for internal use only. we will not import them
We will recheck all poi again, because it seams something is wrong
with matching.
28.05.2019 15:33, Frederik Ramm пишет:
Hi,
On 28.05.19 13:18, Fedor Zubrytski wrote:
Hi there! We want to import changeset
https://osm.rocketdata.io/project/create_all_2_20190524
Thank you for posting and for taking the time to load your data set
into
a conflation tool for review!
I notice that all the points carry the note "Rejected with the verdict:
duplicate". What does that mean?
I checked a few random records and found a few questionable items, e.g.
https://osm.rocketdata.io/map/create_all_2_20190524?region=#19/58.00867/56.19446
this is in a parking lot. Could it be a mobile vending point? Looks
unlikely to be amenity=cafe.
https://osm.rocketdata.io/map/create_all_2_20190524?region=#19/51.79522/55.1302
is in a cinema and the building next door is already mapped with a
"Coffe Like" - perhaps you did not find that because it was misspelled?
Or maybe these are indeed two different vending points.
https://osm.rocketdata.io/map/create_all_2_20190524?region=#19/56.45930/84.96144
is right next to an existing "Coffee Like", perhaps you can research
why
your automatic matching didn't find that and if there are other
situations like it.
It might make sense to run a database query against OSM and identify
those import points that are not located in buildings *but* in an area
that tends to have buildings - and check whether they need moving or a
building needs to be added.
The tags "geocode_address" and "user_address" are confusing and should
be dropped. Instead, if you can, use the standard "addr:street",
"addr:housenumber", "addr:city" and so on.
Best
Frederik
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