On 03/10/2019 01:40, [email protected] wrote:

- Code-Point Open is a legal and open source of postcode data. In fact it is the _only_ legal source of such data in bulk. All other sources are either derived from CPO or are based on local knowledge.

That's not true. The ONS Postcode Database (ONSPD) products are also OGL, at least as far as mainland GB postcodes are concerned (NI postcodes are somewhat different). And ONSPD is more useful than Code-Point Open, partly because it's more amenable to an automated update (you can script a regular download of the latest file, unlike OS products which need to be manually ordered each time), and partly because it includes more meta-data that can also be valuable (for example, it includes lookups to GSS codes for a wide range of administrative authorities).

- The key (and deliberate) limitation Code-Point Open is that it doesn't distinguish between residential postcodes and postcodes assigned to "large users". This is not ideal but still useful - we know the postcode exists at a given location, we just can't be sure if it is the only postcode there.

ONSPD solves this problem, because it includes the "large user" flag.

(Slight tangent here: residential postcodes can be "large user" too; for example a university hall of residence with a single address point. Postcodes themselves don't distinguish between residential and commercial use, and that information isn't reliably held anywhere, even in the full PAF, as that information is generally irrelevant to Royal Mail's purposes. But it is true that most large user postcodes are commercial.)

- Quality of building in OSM database. Large buildings, especially in town centres, are often not partitioned correctly. Different parts may have different street names and postcodes. Code-Point Open may in fact be helpful in finding and correcting such issues.

- Some postcodes are for PO boxes (usually collocated with post offices) are are best left out.

You can generally identify Post Office based PO Box postcodes simply by looking for postcodes that share identical coordinates. But, of course, to do that you need to have all of them; you can't do it reliably on a postcode-by-postcode basis.

My recommendation: import missing postcodes "as is" (as points) with extra tags denoting the import, import date and an accuracy metric from CPO. Keep it searchable and easy to remove or update, if necessary. Code-Point Open is updated quarterly and sometimes centroids move to another building. Filter out PO boxes and postcodes which are already in OSM (I usually check if there is an OSM object with a matching addr:postcode within a 10m radius of the code point). Do not attempt to merge them with buildings as it is not guaranteed to work in all cases. This is best done manually and in some cases it may require a survey.

I agree with all of that, with the exception that I'd suggest using ONSPD as the source (for the reasons given above). An advantage of using ONSPD is that the presence of the large user flag means that for postcodes identified as being large user (if not also PO Box postcodes), they do accurately and correctly identify a specific building. So they can be merged with the building data where possible.

Mark

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