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Dataset reference · Google Open Buildings · building footprints

The source with the biggest gaps, stated plainly

Building footprints are the least complete source in the catalogue, and it is worth being direct about that rather than presenting a uniform table of sources. Footprints exist only where a publisher released them; whole regions legitimately return nothing. This page covers how the count is produced, why absence is reported as absence, and what a footprint count cannot tell you. Licence table: data sources. Computation: methodology.

How the footprint count is produced

The methodology page records the computation as a count only: LocateRight asks its stored spatial index how many footprint records fall inside the analysis radius, without fetching the individual geometries. Two footprint stores are queried and their counts summed:

Microsoft Global ML Building Footprints

One of two stores queried for the footprint count. Its contribution is reported under the combined buildings source id with the dataset version attached.

Google Open Buildings

The second store. Published by Google Research using machine-learned extraction from satellite and aerial imagery.

Why summed, not deduplicated

The two stores cover largely different extents rather than duplicating the same records, so they are added rather than reconciled. Where both cover the same area, the result is a coverage-weighted count and not a de-duplicated inventory.

Why absence is reported as absence

Where neither store holds footprints covering the analysed point, the platform returns an explicit NO_DATA_FOR_LOCATION state carrying the reason, rather than a number.

This distinction is the whole point of the block. A count of zero would assert that nothing is built. What the data actually says is that nothing is published there — a different claim, with a completely different implication for how you read an analysis. Reporting the first when you have only established the second would be a fabricated measurement, and it is the single most misleading thing a footprint-based product could do in a region it cannot see.

What a footprint count does not tell you

QuestionAnswerable?Why
How many buildings are in this radius?Yes, where coverage existsDirectly counted, with the dataset version attached
Is this area densely built?Yes, as built densityA count over a stated radius
Is this region covered at all?Yes, explicitlyReported as NO_DATA_FOR_LOCATION, never as zero
What is each building used for?NoFootprint geometry carries no use, category or occupancy attribute
Is the retail here busy?Not aloneBuilt density includes housing, warehousing and infrastructure
How old is a structure?NoNo construction-date attribute in the count
Is a specific building vacant?NoA footprint is not an occupancy record
Is this the same building counted once?Guaranteed noThe two stores are summed, not deduplicated

Licence and provenance

Google Open Buildings is published under Creative Commons Attribution 4.0. LocateRight's licence registry records it as approved for commercial use, with attribution required and no share-alike obligation.

provenance on every footprint result
source_id   buildings
stores queried   ms-global-building-footprints · google-open-buildings
dataset_version   the version the count was taken from
method   footprint records within radius (MS/Google stores)

Google Open Buildings: FAQ

How does LocateRight count building footprints?

It returns the number of footprint records falling inside the analysis radius, counted directly from the stored spatial index rather than by fetching individual records, and summed across two footprint stores: Microsoft Global ML Building Footprints and Google Open Buildings. The two are added together rather than deduplicated, because they cover largely different extents rather than duplicating the same records. The dataset version is attached to the result.

Why is building coverage the least reliable source?

Because footprints only exist where a publisher has actually released them. Some regions legitimately return nothing at all. This is a gap in the underlying open data, not a failed search, and LocateRight reports it as an explicit NO_DATA_FOR_LOCATION state with its reason rather than as a count of zero.

What licence applies to Google Open Buildings?

Creative Commons Attribution 4.0. LocateRight's licence registry records it as approved for commercial use, with attribution required and no share-alike obligation.

Can I tell what a building is used for from this data?

No. The result is a count only, and footprint geometry carries no use, category or occupancy attribute. A footprint count tells you how much is built, not what it is used for. For what is actually on the ground, see the place records from Overture Places and OpenStreetMap.

Does a footprint count tell me if a location is commercially busy?

Not on its own. Footprint count measures built density, and built density includes housing, warehousing, sheds and infrastructure as well as retail. Read alongside place records it is informative; read alone it is easily over-interpreted, which is why it is presented as one block among several rather than as a verdict.

See the count, and see when it is absent

Run an analysis and inspect the footprint block with its dataset version and method attached — including the regions where the honest answer is "no data for this location".