diff --git a/docs/attribution.mdx b/docs/attribution.mdx index 22fda194..999016ac 100644 --- a/docs/attribution.mdx +++ b/docs/attribution.mdx @@ -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). diff --git a/docs/guides/addresses.mdx b/docs/guides/addresses.mdx index 94c0ac67..3827489c 100644 --- a/docs/guides/addresses.mdx +++ b/docs/guides/addresses.mdx @@ -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 diff --git a/docs/guides/buildings.mdx b/docs/guides/buildings.mdx index 78cdf332..5e4c6a26 100644 --- a/docs/guides/buildings.mdx +++ b/docs/guides/buildings.mdx @@ -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 diff --git a/docs/guides/places.mdx b/docs/guides/places.mdx index 771cca21..cfeaf5dc 100644 --- a/docs/guides/places.mdx +++ b/docs/guides/places.mdx @@ -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 diff --git a/docs/guides/transportation.mdx b/docs/guides/transportation.mdx index 379f8db2..51f09064 100644 --- a/docs/guides/transportation.mdx +++ b/docs/guides/transportation.mdx @@ -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 | diff --git a/static/img/addresses/address-coverage-h3-oct.png b/static/img/addresses/address-coverage-h3-nov.png similarity index 100% rename from static/img/addresses/address-coverage-h3-oct.png rename to static/img/addresses/address-coverage-h3-nov.png diff --git a/static/img/places/places-coverage-h3-nov.png b/static/img/places/places-coverage-h3-nov.png new file mode 100644 index 00000000..0f10d4bd Binary files /dev/null and b/static/img/places/places-coverage-h3-nov.png differ diff --git a/static/img/places/places-coverage-h3-oct.png b/static/img/places/places-coverage-h3-oct.png deleted file mode 100644 index 8eb8368d..00000000 Binary files a/static/img/places/places-coverage-h3-oct.png and /dev/null differ