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UID:pretalx-foss4g-uk-2026-PX99HA@talks.osgeo.org
DTSTART;TZID=GMT:20261012T110000
DTEND;TZID=GMT:20261012T113000
DESCRIPTION:Anyone who has tried to get their hands on geolocated address d
 ata in the UK will recognise the challenge. Navigating Ordnance Survey's c
 atalogue is harder than it should be and even getting the right license ca
 n be difficult. At Rebalance Earth we use geolocated address data for iden
 tifying properties owned by pension funds and asset owners that are at ris
 k of flooding so that we can propose nature-based flood management solutio
 ns to mitigate that risk.  \n\nAs part of our flood risk reporting process
 \, asset owners often send us a list of property addresses associated with
  individual commercial buildings\, retail parks with several buildings\, h
 ospitals\, or entire industrial parks. But for flood reporting we need pol
 ygons\, and even the OS AddressBase data only gives us addresses as points
 . So\, we had to find a better way of turning raw address strings into acc
 urate\, georeferenced polygons.  \n\nTo do this\, we built the Locator App
 : a CLI tool that stitches together several open-source geospatial dataset
 s and uses a tiered address matching system to find or create a georeferen
 ced polygon for every address in a list. The app works best for geolocatin
 g large areas with lots of buildings like retail parks\, industrial estate
 s\, or commercial properties\, rather than residential addresses. \n\nThis
  talk is about how we built the Locator App and why it matters beyond our 
 own work. I want to share what tools we used\, including Python\, GDAL\, p
 g_tgrm for fuzzy name matching\, Claude for building the interface\, and t
 he open data we used such as OS Overture Places and OSM Land Use. I want a
 ttendees to leave inspired and thinking about how they can adopt an open-s
 ource approach to solving problems and break their own dependence on propr
 ietary data.
DTSTAMP:20260821T112136Z
LOCATION:Create 2
SUMMARY:The Locator App: An Open-Source Methodology for Geolocating UK Comm
 ercial Address Data - Gabriella Edghill
URL:https://talks.osgeo.org/foss4g-uk-2026/talk/PX99HA/
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