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jeffdefacto merged 1 commit into from
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November 2025 guide updates #244

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2 changes: 2 additions & 0 deletions docs/attribution.mdx
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Expand Up @@ -336,7 +336,9 @@ Some of the data sources we use in Overture datasets require their own attributi
- Data from [Microsoft](https://www.microsoft.com/en-us/). Available under [CDLA Permissive 2.0](https://cdla.dev/permissive-2-0/).
- Data from [PinMeTo](https://www.pinmeto.com/). Available under [CDLA Permissive 2.0](https://cdla.dev/permissive-2-0/).
- Data from [Krick](https://www.krick.com/). Available under [CDLA Permissive 2.0](https://cdla.dev/permissive-2-0/).
- Data from [RenderSEO](https://www.renderseo.com/). Available under [CDLA Permissive 2.0](https://cdla.dev/permissive-2-0/).
- Data from [Foursquare](https://foursquare.com/). Copyright 2024 Foursquare Labs, Inc. All rights reserved. Available under [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0).
- Data from [AllThePlaces](https://alltheplaces.xyz/). Available under [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/deed.en).
</details>


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4 changes: 2 additions & 2 deletions docs/guides/addresses.mdx
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Expand Up @@ -29,9 +29,9 @@ Address data can be used for a variety of purposes, which can include:
- **Normalization**: Adhering to standard and consistent forms of address components.
- **Validation and Verification**: Confirming an address exists within a known list of addresses.

| ![Overture address coverage](/img/addresses/address-coverage-h3-oct.png) |
| ![Overture address coverage](/img/addresses/address-coverage-h3-nov.png) |
|:--:|
| *October coverage of Overture address data, visualized using H3 cells.* |
| *November coverage of Overture address data, visualized using H3 cells.* |

## Dataset description

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4 changes: 2 additions & 2 deletions docs/guides/buildings.mdx
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Expand Up @@ -128,13 +128,13 @@ Currently, the Overture `building` dataset is a combination of the following ope

| Source | Type | Conflation Priority | Count |
|--------|------|-------------------|--------|
| [OpenStreetMap](//osm.org) | Community-contributed | 1 | ~660 Million |
| [OpenStreetMap](//osm.org) | Community-contributed | 1 | ~662 Million |
| [Esri Community Maps](https://communitymaps.arcgis.com/home) | Community-contributed | 2 | ~17.4 Million |
| [Instituto Geográfico Nacional (España)](https://www.ign.es/) | National dataset | 3 | ~12.9 Million |
| [City of Vancouver, Canada](https://opendata.vancouver.ca/) | Municipal dataset | 4 | ~17 Thousand |
| [Google Open Buildings](https://sites.research.google/open-buildings/) | ML-derived roofprints (>90% precision) | 5 | ~350 Million |
| [Microsoft](https://github.com/microsoft/GlobalMLBuildingFootprints) | ML-derived roofprints | 6 | ~716 Million |
| [Google Open Buildings](https://sites.research.google/open-buildings/) | ML-derived roofprints (\<90% precision) | 7 | ~650 Million |
| [Google Open Buildings](https://sites.research.google/open-buildings/) | ML-derived roofprints (\<90 % precision) | 7 | ~650 Million |
| [Buildings in East Asian Countries](https://zenodo.org/records/8174931) | ML-derived roofprints | 8 | ~213 Million |

### Quality and prioritization
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22 changes: 12 additions & 10 deletions docs/guides/places.mdx
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Expand Up @@ -22,19 +22,21 @@ This guide is focused on the Overture places **data**—its content, scope, prop

## Overview

The Overture places theme has one feature type, called `place`, and contains more than 64 million point representations of real-world entities: schools, businesses, hospitals, religious organizations, landmarks, mountain peaks, and much more. The theme is derived from a conflation of Meta, Microsoft, and PinMeTo data and is available under a [CDLA Permissive 2.0](https://cdla.dev/permissive-2-0/) license.
The Overture places theme has one feature type, called `place`, and contains more than 64 million point representations of real-world entities: schools, businesses, hospitals, religious organizations, landmarks, mountain peaks, and much more.

| ![Overture places theme coverage](/img/places/places-coverage-h3-oct.png) |
| ![Overture places theme coverage](/img/places/places-coverage-h3-nov.png) |
|:--:|
| *Overture places data, October 2025* |
| *Overture places data, November 2025* |

| sources (ordered) | feature count, October 2025 |
| --- | --- |
| Foursquare, Overture | 6,192,142 |
| Krick, Overture | 3,193 |
| Microsoft, Overture | 5,723,539 |
| PinMeTo, Overture | 125,377 |
| meta, Overture | 5,9457,529 |
| Sources | License | feature count, November 2025 |
| --- | --- | --- |
| AllThePlaces, Overture | CC0-1.0 | 1,545,943 |
| Foursquare, Overture | Apache-2.0 | 6,065,888 |
| Krick, Overture | CDLA-Permissive-2.0 | 3,199 |
| Microsoft, Overture | CDLA-Permissive-2.0 | 5,707,560 |
| PinMeTo, Overture | CDLA-Permissive-2.0 | 125,147 |
| RenderSEO, Overture | CDLA-Permissive-2.0 | 4,850 |
| meta, Overture | CDLA-Permissive-2.0 | 58,675,469 |

## Dataset description

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74 changes: 37 additions & 37 deletions docs/guides/transportation.mdx
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Expand Up @@ -100,43 +100,43 @@ Transportation segments are divided into three subtypes: **rail**, **water**, an

| subtype | class | subclass | feature count, October 2025 |
| --- | --- | --- | --- |
| rail | funicular | | 1,303 |
| rail | light_rail | | 16,369 |
| rail | monorail | | 3,011 |
| rail | narrow_gauge | | 31,253 |
| rail | standard_gauge | | 1,436,065 |
| rail | subway | | 53,227 |
| rail | tram | | 59,270 |
| rail | unknown | | 379,824 |
| road | bridleway | | 100,704 |
| road | cycleway | cycle_crossing | 58,602 |
| road | cycleway | | 1,284,059 |
| road | footway | crosswalk | 2,249,591 |
| road | footway | sidewalk | 3,649,523 |
| road | footway | | 16,157,018 |
| road | living_street | | 3,344,604 |
| road | motorway | link | 641,540 |
| road | motorway | | 433,681 |
| road | path | | 13,590,193 |
| road | pedestrian | | 466,814 |
| road | primary | link | 493,476 |
| road | primary | | 6,711,275 |
| road | residential | | 126,069,560 |
| road | secondary | link | 390,275 |
| road | secondary | | 10,754,344 |
| road | service | alley | 1,733,239 |
| road | service | driveway | 16,873,216 |
| road | service | parking_aisle | 6,386,479 |
| road | service | | 33,258,280 |
| road | steps | | 1,892,801 |
| road | tertiary | link | 298,039 |
| road | tertiary | | 19,929,620 |
| road | track | | 25,385,925 |
| road | trunk | link | 555,085 |
| road | trunk | | 3,463,969 |
| road | unclassified | | 29,700,371 |
| road | unknown | | 3,176,584 |
| water | | | 28,327 |
| rail | funicular | | 1,298 |
| rail | light_rail | | 16,475 |
| rail | monorail | | 3,013 |
| rail | narrow_gauge | | 31,336 |
| rail | standard_gauge | | 1,440,287 |
| rail | subway | | 53,492 |
| rail | tram | | 59,382 |
| rail | unknown | | 381,828 |
| road | bridleway | | 100,986 |
| road | cycleway | cycle_crossing | 59,912 |
| road | cycleway | | 1,293,669 |
| road | footway | crosswalk | 2,290,577 |
| road | footway | sidewalk | 3,726,244 |
| road | footway | | 16,297,306 |
| road | living_street | | 3,360,436 |
| road | motorway | link | 642,969 |
| road | motorway | | 434,638 |
| road | path | | 13,680,167 |
| road | pedestrian | | 468,499 |
| road | primary | link | 494,601 |
| road | primary | | 6,728,784 |
| road | residential | | 126,278,878 |
| road | secondary | link | 391,503 |
| road | secondary | | 10,776,704 |
| road | service | alley | 1,754,172 |
| road | service | driveway | 17,032,307 |
| road | service | parking_aisle | 6,423,161 |
| road | service | | 33,408,451 |
| road | steps | | 1,910,522 |
| road | tertiary | link | 299,267 |
| road | tertiary | | 20,002,834 |
| road | track | | 25,510,461 |
| road | trunk | link | 557,908 |
| road | trunk | | 3,481,281 |
| road | unclassified | | 29,731,703 |
| road | unknown | | 6,142,311 |
| water | | | 28,374 |

</TabItem>
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