Hi,
Over past several months I've been adding postcodes from Code-Point
Open. I've streamlined the procedure a bit, so I can now add the tags
without spelling out every single one of them, but it is still a manual
and labour intensive process:
https://github.com/ndrw6/import_postcodes/
While working on that, I've noticed there are a lot of simple cases
where automatic collation would have produced very similar results. For
example, in case of existing OSM buildings without an addr:postcode tag
located at or very near to a Code-Point Open centroid.
Therefore I'm requesting permission to use the following automated edit
procedure:
1. Open an osm file containing missing postcodes (from the above
website) in jOSM
1a. Select all points from the above dataset
2. Download OSM data in the area of interest
2a. Select all ways with a "building" tag of typical residential house
size and without an "addr:postcode" tag (search phrase: 'building
-"addr:postcode" type:way areasize:50-1000')
3. Use a collation plugin to collate both datasets with "centroid
distance" set to "< 15m". The condition is there to apply postcodes only
to small buildings in direct vicinity of the codepoint centroid.
There are some caveats I've noticed, often not different from manual
editing:
a) Some buildings have addresses added as separate points rather than
tags (automated edit will add addr:postcode tags directly to the
building, this is what I chose to do manually as well)
b) Collation plugin doesn't support relations (these postcodes will get
ignored and can be added later manually)
c) Often OSM buildings contain multiple addresses or postcodes and
should be split into several buildings or building parts. This affects
both manual and automated procedure, to minimize the impact I am setting
relatively small "centroid distance" and building area limits.
Best regards,
ndrw6
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