diff --git a/docs/guides/addresses.mdx b/docs/guides/addresses.mdx index ec680744d..9585576a0 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-aug.png) | +| ![Overture address coverage](/img/addresses/address-coverage-h3-sept.png) | |:--:| -| *August coverage of Overture address data, visualized using H3 cells.* | +| *September coverage of Overture address data, visualized using H3 cells.* | ## Dataset description diff --git a/docs/guides/buildings.mdx b/docs/guides/buildings.mdx index d6334b616..ddbc588cf 100644 --- a/docs/guides/buildings.mdx +++ b/docs/guides/buildings.mdx @@ -74,12 +74,12 @@ Currently, the Overture buildings dataset is a combination of the following open | source | type | conflation priority | count | | --- | --- | --- | --- | -| [OpenStreetMap](//osm.org) | Community-contributed | 1 | ~635 Million | -| [Esri Community Maps](https://communitymaps.arcgis.com/home) | Community-contributed | 2 | ~11 Million | -| [Instituto Geográfico Nacional (España)](https://www.ign.es/) | National dataset | 3 | ~11.7 Million | -| [City of Vancouver, Canada](https://opendata.vancouver.ca/) | Municipal dataset | 4 | ~14 Thousand | +| [OpenStreetMap](//osm.org) | Community-contributed | 1 | ~656 Million | +| [Esri Community Maps](https://communitymaps.arcgis.com/home) | Community-contributed | 2 | ~17.5 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 | ~723 Million | +| [Microsoft](https://github.com/microsoft/GlobalMLBuildingFootprints) | ML-derived roofprints | 6 | ~805 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 | diff --git a/docs/guides/places.mdx b/docs/guides/places.mdx index 4ae76278f..c31d798e2 100644 --- a/docs/guides/places.mdx +++ b/docs/guides/places.mdx @@ -24,23 +24,43 @@ This guide is focused on the Overture places **data**—its content, scope, prop 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. -| ![Overture places theme coverage](/img/places/places-coverage-h3-aug.png) | +| ![Overture places theme coverage](/img/places/places-coverage-h3-sept.png) | |:--:| -| *Overture places data, August 2025* | +| *Overture places data, September 2025* | -| source | feature count, August 2025 | +| sources (ordered) | feature count, September 2025 | | --- | --- | -| meta | 56,659,810 | -| Microsoft | 5,369,523 | -| meta & Microsoft | 3,169,090 | -| Microsoft & PinMeTo | 74,744 | -| PinMeTo | 19,132 | -| meta, Microsoft & PinMeTo | 33,899 | -| Krick & Microsoft | 6,355 | -| meta & PinMeTo | 3,707 | -| Krick | 3,140 | -| Krick, meta & Microsoft | 2,717 | -| Krick & meta | 706 | +| meta | 56,229,637 | +| Foursquare | 6,089,297 | +| Microsoft | 5,322,704 | +| meta & Microsoft | 2,613,673 | +| meta & SparkGeo-confidence-conflation | 541,168 | +| meta, Microsoft & SparkGeo-confidence-conflation | 404,772 | +| Microsoft & meta | 207,468 | +| PinMeTo & Microsoft | 71,793 | +| Microsoft & SparkGeo-confidence-conflation | 62,751 | +| PinMeTo, meta & Microsoft | 31,490 | +| PinMeTo | 16,184 | +| Microsoft, meta & SparkGeo-confidence-conflation | 7,175 | +| Microsoft & Krick | 6,301 | +| Microsoft & PinMeTo | 6,004 | +| Krick | 3,172 | +| PinMeTo & meta | 2,780 | +| meta, Microsoft & Krick | 2,643 | +| PinMeTo, Microsoft & meta | 2,285 | +| Foursquare & SparkGeo-confidence-conflation | 1,067 | +| meta & Krick | 679 | +| meta, Microsoft & PinMeTo | 647 | +| Microsoft, meta & PinMeTo | 362 | +| meta & PinMeTo | 307 | +| Microsoft, meta & Krick | 64 | +| Microsoft, Krick & meta | 43 | +| PinMeTo, meta, Microsoft & SparkGeo-confidence-conflation | 4 | +| Krick & meta | 16 | +| PinMeTo, Microsoft & SparkGeo-confidence-conflation | 2 | +| Microsoft, PinMeTo & SparkGeo-confidence-conflation | 1 | +| PinMeTo, meta & SparkGeo-confidence-conflation | 1 | +| meta, Microsoft, PinMeTo & SparkGeo-confidence-conflation | 1 | ## Dataset description diff --git a/docs/guides/transportation.mdx b/docs/guides/transportation.mdx index f469580f8..4c31f06d1 100644 --- a/docs/guides/transportation.mdx +++ b/docs/guides/transportation.mdx @@ -98,45 +98,45 @@ Transportation segments are divided into three subtypes: **rail**, **water**, an -| subtype | class | subclass | feature count, August 2025 | +| subtype | class | subclass | feature count, September 2025 | | --- | --- | --- | --- | -| rail | funicular | | 1,309 | -| rail | light_rail | | 16,218 | -| rail | monorail | | 3,023 | -| rail | narrow_gauge | | 31,044 | -| rail | standard_gauge | | 1,429,962 | -| rail | subway | | 52,417 | -| rail | tram | | 58,992 | -| rail | unknown | | 376,475 | -| road | bridleway | | 99,768 | -| road | cycleway | cycle_crossing | 57,084 | -| road | cycleway | | 1,272,514 | -| road | footway | crosswalk | 2,189,913 | -| road | footway | sidewalk | 3,532,386 | -| road | footway | | 15,891,996 | -| road | living_street | | 3,322,367 | -| road | motorway | link | 640,036 | -| road | motorway | | 433,368 | -| road | path | | 13,455,216 | -| road | pedestrian | | 464,602 | -| road | primary | link | 490,259 | -| road | primary | | 6,681,557 | -| road | residential | | 125,698,481 | -| road | secondary | link | 388,309 | -| road | secondary | | 10,716,541 | -| road | service | alley | 1,700,121 | -| road | service | driveway | 16,639,987 | -| road | service | parking_aisle | 6,322,008 | -| road | service | | 32,980,815 | -| road | steps | | 1,863,964 | -| road | tertiary | link | 297,428 | -| road | tertiary | | 19,828,207 | -| road | track | | 25,187,115 | -| road | trunk | link | 552,618 | -| road | trunk | | 3,443,606 | -| road | unclassified | | 29,598,013 | -| road | unknown | | 1,279,752 | -| water | | | 28,259 | +| rail | funicular | | 1,309 | +| rail | light_rail | | 16,302 | +| rail | monorail | | 3,037 | +| rail | narrow_gauge | | 31,105 | +| rail | standard_gauge | | 1,432,742 | +| rail | subway | | 52,834 | +| rail | tram | | 59,075 | +| rail | unknown | | 378,647 | +| road | bridleway | | 100,550 | +| road | cycleway | cycle_crossing | 57,957 | +| road | cycleway | | 1,279,784 | +| road | footway | crosswalk | 2,219,681 | +| road | footway | sidewalk | 3,595,350 | +| road | footway | | 16,025,515 | +| road | living_street | | 3,332,042 | +| road | motorway | link | 640,561 | +| road | motorway | | 433,073 | +| road | path | | 13,523,391 | +| road | pedestrian | | 465,722 | +| road | primary | link | 491,060 | +| road | primary | | 6,698,107 | +| road | residential | | 125,885,875 | +| road | secondary | link | 389,359 | +| road | secondary | | 10,737,084 | +| road | service | alley | 1,716,773 | +| road | service | driveway | 16,761,777 | +| road | service | parking_aisle | 6,355,124 | +| road | service | | 33,109,690 | +| road | steps | | 1,878,101 | +| road | tertiary | link | 297,561 | +| road | tertiary | | 19,881,087 | +| road | track | | 25,289,639 | +| road | trunk | link | 554,871 | +| road | trunk | | 3,456,718 | +| road | unclassified | | 29,648,979 | +| road | unknown | | 1,710,480 | +| water | | | 28,327 | diff --git a/static/img/addresses/address-coverage-h3-aug.png b/static/img/addresses/address-coverage-h3-sept.png similarity index 100% rename from static/img/addresses/address-coverage-h3-aug.png rename to static/img/addresses/address-coverage-h3-sept.png diff --git a/static/img/places/places-coverage-h3-aug.png b/static/img/places/places-coverage-h3-aug.png deleted file mode 100644 index bfb0bcb28..000000000 Binary files a/static/img/places/places-coverage-h3-aug.png and /dev/null differ diff --git a/static/img/places/places-coverage-h3-sept.png b/static/img/places/places-coverage-h3-sept.png new file mode 100644 index 000000000..19c820eeb Binary files /dev/null and b/static/img/places/places-coverage-h3-sept.png differ