Addressing Addresses Sarah Hoffmann lonvia@denofr.de 28th July - PowerPoint PPT Presentation

Introduction Postal Addresses OSM Tagging Making Sense of the Data Addressing Addresses Sarah Hoffmann lonvia@denofr.de 28th July 2018 State of the Map 2018 Milano

Introduction Postal Addresses OSM Tagging Making Sense of the Data Introduction

Introduction Postal Addresses OSM Tagging Making Sense of the Data Addresses

Introduction Postal Addresses OSM Tagging Making Sense of the Data Addresses Address Place where a person can be communicated with. (Marriam Webster)

Introduction Postal Addresses OSM Tagging Making Sense of the Data Addresses Location description Textual description of a geographic location.

Introduction Postal Addresses OSM Tagging Making Sense of the Data Example: location of a fountain

Introduction Postal Addresses OSM Tagging Making Sense of the Data Background

Introduction Postal Addresses OSM Tagging Making Sense of the Data Postal Addresses

Introduction Postal Addresses OSM Tagging Making Sense of the Data Postal Addresses • made for human use (aka offline) • well-known points of reference • hierarchic structure • coverage

Introduction Postal Addresses OSM Tagging Making Sense of the Data Postal Addresses • made for human use (aka offline) • well-known points of reference • hierarchic structure • coverage

Introduction Postal Addresses OSM Tagging Making Sense of the Data Postal Addresses • made for human use (aka offline) • well-known points of reference • hierarchic structure • coverage

Introduction Postal Addresses OSM Tagging Making Sense of the Data Postal Addresses • made for human use (aka offline) • well-known points of reference • hierarchic structure • coverage

Introduction Postal Addresses OSM Tagging Making Sense of the Data OSM Tagging

Introduction Postal Addresses OSM Tagging Making Sense of the Data Postal Addresses in OSM

Introduction Postal Addresses OSM Tagging Making Sense of the Data Objects with addr:* tags per country ca. 84 million objects

Introduction Postal Addresses OSM Tagging Making Sense of the Data Address base addr:housename addr:housenumber 80 million 340.000 • addr:conscription number, addr:street number, addr:provisional number • addr:interpolation • addr:flat, addr:unit

Introduction Postal Addresses OSM Tagging Making Sense of the Data Number point of reference addr:place addr:street 70 million 7.4 million

Introduction Postal Addresses OSM Tagging Making Sense of the Data Japanese Addresses

Introduction Postal Addresses OSM Tagging Making Sense of the Data Address hierarchy

Introduction Postal Addresses OSM Tagging Making Sense of the Data Administrative boundaries +

Introduction Postal Addresses OSM Tagging Making Sense of the Data admin level

Introduction Postal Addresses OSM Tagging Making Sense of the Data admin level

Introduction Postal Addresses OSM Tagging Making Sense of the Data admin level

Introduction Postal Addresses OSM Tagging Making Sense of the Data admin level

Introduction Postal Addresses OSM Tagging Making Sense of the Data admin levels - Europe

Introduction Postal Addresses OSM Tagging Making Sense of the Data Fun with Administrations: US

Introduction Postal Addresses OSM Tagging Making Sense of the Data Fun with Administrations: Germany

Introduction Postal Addresses OSM Tagging Making Sense of the Data If it’s worth doing...

Introduction Postal Addresses OSM Tagging Making Sense of the Data If it’s worth doing...

Introduction Postal Addresses OSM Tagging Making Sense of the Data If it’s worth doing...

Introduction Postal Addresses OSM Tagging Making Sense of the Data Place nodes

Introduction Postal Addresses OSM Tagging Making Sense of the Data Places - Admin values

Introduction Postal Addresses OSM Tagging Making Sense of the Data Places - Admin values

Introduction Postal Addresses OSM Tagging Making Sense of the Data Counties, districts, municipalities

Introduction Postal Addresses OSM Tagging Making Sense of the Data Counties, districts, municipalities

Introduction Postal Addresses OSM Tagging Making Sense of the Data Cities, towns, villages

Introduction Postal Addresses OSM Tagging Making Sense of the Data Making Sense of the Data

Introduction Postal Addresses OSM Tagging Making Sense of the Data How to do an Address 1. addr:* tags • sort appropriately All expected parts there? Done! 2. Administrative boundaries • sort by admin level , remove less well-known levels • assign type (country, state, county, ...) All expected parts there? Done! 3. Nearby place nodes • remove nodes already covered by boundaries • sort remaining nodes by hierarchy and use closest node of each level

Introduction Postal Addresses OSM Tagging Making Sense of the Data How to do an Address 1. addr:* tags • sort appropriately All expected parts there? Done! 2. Administrative boundaries • sort by admin level , remove less well-known levels • assign type (country, state, county, ...) All expected parts there? Done! 3. Nearby place nodes • remove nodes already covered by boundaries • sort remaining nodes by hierarchy and use closest node of each level

Introduction Postal Addresses OSM Tagging Making Sense of the Data Tagging addresses Mandatory tagging • addr:housenumber , addr:housename • addr:street or addr:place (not both) Optional tagging • other address parts • addr: is not is in Does not fit your local addresses? Invent and document.

Introduction Postal Addresses OSM Tagging Making Sense of the Data Hierarchies, hierarchies, hierarchies admin levels • well-known vs. governmental-only Tag relationships • admin level • place • addr:* Place types • hierarchy Per Country

Introduction Postal Addresses OSM Tagging Making Sense of the Data Example: Japan

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