<html><head></head><body>These should reasonably easy to remove from the dataset, easier than checking for existing addresses. Thanks for the suggestion. <br><br>Best regards,<br>ndrw6 <br><br><div class="gmail_quote">On 17 July 2019 18:09:39 BST, David Woolley <forums@david-woolley.me.uk> wrote:<blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">
<pre class="k9mail">On 16/07/2019 22:19, ndrw6 wrote:<br><blockquote class="gmail_quote" style="margin: 0pt 0pt 1ex 0.8ex; border-left: 1px solid #729fcf; padding-left: 1ex;">3. Use a collation plugin to collate both datasets with "centroid <br>distance" set to "< 15m". The condition is there to apply postcodes only <br>to small buildings in direct vicinity of the codepoint centroid.<br></blockquote><br>This algorithm will apply PO Box number postcodes to some buildings <br>adjacent to the post office. Similarly for other high use post codes, <br>which are close to residential areas.<hr>Talk-GB mailing list<br>Talk-GB@openstreetmap.org<br><a href="https://lists.openstreetmap.org/listinfo/talk-gb">https://lists.openstreetmap.org/listinfo/talk-gb</a><br></pre></blockquote></div></body></html>