diff --git a/per_country/README.md b/per_country/README.md new file mode 100644 index 0000000000000000000000000000000000000000..41dbf12b2d1299aa6e730131f6211b5db1742268 --- /dev/null +++ b/per_country/README.md @@ -0,0 +1,22 @@ +# per_country/ + +One folder per European country (46 total). Each folder contains: + +- `.parquet` — every polygon from that country that passed + the filter chain (see root README). +- `README.md` — short country note: polygon count, extract status, + PBF date, and any caveats (e.g. regional sub-PBF processing for + France/Germany). + +The per-country split mirrors Geofabrik's regional extracts at +`https://download.geofabrik.de/europe/`. Use this folder when you +want a single country without paying for the full 9 GB combined file. + +Total polygons across all 46 countries: **7,112,375**. + +For the all-in-one file, see [`../combined/`](../combined/). For a +small representative sample (~4k polygons, one per ~1.7k), see +[`../sample/`](../sample/). For a thumbnail of the geographic +distribution, see [`../preview/`](../preview/). + +[Back to the dataset root](../README.md) diff --git a/per_country/albania/README.md b/per_country/albania/README.md new file mode 100644 index 0000000000000000000000000000000000000000..36fcf240784c91182b511c41b74dd5f55ece81a7 --- /dev/null +++ b/per_country/albania/README.md @@ -0,0 +1,36 @@ +# albania + +14,738 polygons from `albania-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/albania.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `albania` | +| polygons | **14,738** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `albania-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`albania.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/albania/albania.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Albania's OSM coverage has grown sharply since 2017; Tirana and the coastal strip are well-mapped. Source: Geofabrik Europe/Albania extract. diff --git a/per_country/albania/albania.parquet b/per_country/albania/albania.parquet new file mode 100644 index 0000000000000000000000000000000000000000..499e10c295eb44ddf0291e9235e4ad8bebbba637 --- /dev/null +++ b/per_country/albania/albania.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ebf9e6ea6bbccbf133e52fc133db4c7f41ff38b4ee7369a68dee90eb4680a7f2 +size 16596954 diff --git a/per_country/andorra/README.md b/per_country/andorra/README.md new file mode 100644 index 0000000000000000000000000000000000000000..46735178f7c28d2dadc01805d7db7d1808f2af83 --- /dev/null +++ b/per_country/andorra/README.md @@ -0,0 +1,36 @@ +# andorra + +776 polygons from `andorra-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/andorra.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `andorra` | +| polygons | **776** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `andorra-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`andorra.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/andorra/andorra.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Tiny principality in the Pyrenees. The whole country fits in a single tile, so even the small extract yields good coverage of hiking trails, landuse, and buildings. diff --git a/per_country/andorra/andorra.parquet b/per_country/andorra/andorra.parquet new file mode 100644 index 0000000000000000000000000000000000000000..83dd6fa5f3871cc8b82121ef10464510cfc4b9fa --- /dev/null +++ b/per_country/andorra/andorra.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c545e3e6657434a5e8fc958c443b6793744006570eb9a51710e2f9520059e7b0 +size 1997868 diff --git a/per_country/austria/README.md b/per_country/austria/README.md new file mode 100644 index 0000000000000000000000000000000000000000..5737d5339dba36a3782b3292e80e8009c08efe93 --- /dev/null +++ b/per_country/austria/README.md @@ -0,0 +1,36 @@ +# austria + +133,711 polygons from `austria-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/austria.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `austria` | +| polygons | **133,711** | +| extract_status | **clean** | +| pbf_date | 2026-06-27 | +| source | `austria-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`austria.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/austria/austria.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Strong community mapping across all nine Bundesländer. Excellent coverage of landuse (agriculture, forest) and alpine hiking infrastructure. diff --git a/per_country/austria/austria.parquet b/per_country/austria/austria.parquet new file mode 100644 index 0000000000000000000000000000000000000000..a69a4669e66d17091745fd0ac5f7093f5374a402 --- /dev/null +++ b/per_country/austria/austria.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7f1f91c83bc7f1a4f47c7006504ab2a43721833f8af9fced592717784da92450 +size 240044688 diff --git a/per_country/azores/README.md b/per_country/azores/README.md new file mode 100644 index 0000000000000000000000000000000000000000..218cefe5d6c9a7f5012f2e95ec7853eeea5713fb --- /dev/null +++ b/per_country/azores/README.md @@ -0,0 +1,36 @@ +# azores + +2,640 polygons from `azores-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/azores.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `azores` | +| polygons | **2,640** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `azores-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`azores.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/azores/azores.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Portuguese archipelago in the Atlantic. Polygons cover the nine inhabited islands; remote islets are mostly absent from OSM. diff --git a/per_country/azores/azores.parquet b/per_country/azores/azores.parquet new file mode 100644 index 0000000000000000000000000000000000000000..4ede3849aaff654f79dffbb6420e0d3f005b56a2 --- /dev/null +++ b/per_country/azores/azores.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:776423c4cde46d31a6c2e10f2be03a8fe5719dc7feb66623132e9fb1071f35a5 +size 7576363 diff --git a/per_country/belarus/README.md b/per_country/belarus/README.md new file mode 100644 index 0000000000000000000000000000000000000000..1e90146826e711819065df614d5497f37a30f4df --- /dev/null +++ b/per_country/belarus/README.md @@ -0,0 +1,36 @@ +# belarus + +223,750 polygons from `belarus-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/belarus.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `belarus` | +| polygons | **223,750** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `belarus-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`belarus.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/belarus/belarus.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Mapping is active but uneven. Minsk and regional capitals have dense coverage; rural landuse is patchier. diff --git a/per_country/belarus/belarus.parquet b/per_country/belarus/belarus.parquet new file mode 100644 index 0000000000000000000000000000000000000000..93501054767e7d0447193a813f732a2c65162119 --- /dev/null +++ b/per_country/belarus/belarus.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d9dd35ef9152c97feb0148b733f234dba2a10ba6be0c013042625272b4824a05 +size 169284163 diff --git a/per_country/belgium/README.md b/per_country/belgium/README.md new file mode 100644 index 0000000000000000000000000000000000000000..ae94468f848dcd0d90c51f18b2666a71ae6a70dd --- /dev/null +++ b/per_country/belgium/README.md @@ -0,0 +1,36 @@ +# belgium + +125,108 polygons from `belgium-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/belgium.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `belgium` | +| polygons | **125,108** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `belgium-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`belgium.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/belgium/belgium.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Dense, high-quality mapping across Flanders, Wallonia, and Brussels. Excellent for benchmarking against official cadastral data. diff --git a/per_country/belgium/belgium.parquet b/per_country/belgium/belgium.parquet new file mode 100644 index 0000000000000000000000000000000000000000..b75325cb879096ab0c20a551f865bb824f73d302 --- /dev/null +++ b/per_country/belgium/belgium.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7ad22e96959b8092fc4f4f2c27c9e9e4a297ff6611e50b55868d3d8be3333ad4 +size 93474602 diff --git a/per_country/bosnia-herzegovina/README.md b/per_country/bosnia-herzegovina/README.md new file mode 100644 index 0000000000000000000000000000000000000000..bd891fb5b7e93e83fc787d7f76575cbdd2b2495e --- /dev/null +++ b/per_country/bosnia-herzegovina/README.md @@ -0,0 +1,36 @@ +# bosnia-herzegovina + +49,715 polygons from `bosnia-herzegovina-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/bosnia-herzegovina.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `bosnia-herzegovina` | +| polygons | **49,715** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `bosnia-herzegovina-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`bosnia-herzegovina.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/bosnia-herzegovina/bosnia-herzegovina.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Coverage is solid in urban areas and along the main road network; mountain terrain (Dinaric Alps) is sparser. diff --git a/per_country/bosnia-herzegovina/bosnia-herzegovina.parquet b/per_country/bosnia-herzegovina/bosnia-herzegovina.parquet new file mode 100644 index 0000000000000000000000000000000000000000..29e667cb81412efd1946ca1150be6c6123fce2e3 --- /dev/null +++ b/per_country/bosnia-herzegovina/bosnia-herzegovina.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aa9ac4362e51cb6cc8deae77d2ee5816cca91dc4e3023e31c0c3d6cc54c294ae +size 109790500 diff --git a/per_country/bulgaria/README.md b/per_country/bulgaria/README.md new file mode 100644 index 0000000000000000000000000000000000000000..06da49c91493ff84ca0e86bd22066cd06e9c9b3e --- /dev/null +++ b/per_country/bulgaria/README.md @@ -0,0 +1,36 @@ +# bulgaria + +74,567 polygons from `bulgaria-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/bulgaria.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `bulgaria` | +| polygons | **74,567** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `bulgaria-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`bulgaria.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/bulgaria/bulgaria.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Sofia, Plovdiv, and the Black Sea coast have dense landuse and building footprints; mountain areas (Rila, Pirin, Rhodopes) are better-mapped for hiking. diff --git a/per_country/bulgaria/bulgaria.parquet b/per_country/bulgaria/bulgaria.parquet new file mode 100644 index 0000000000000000000000000000000000000000..07817d134e34aa873ef884b5a72b9d1e4adb6beb --- /dev/null +++ b/per_country/bulgaria/bulgaria.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0558a941411f11a1915c2d6749708424cdb82ac0374d5e8b302cf1a9f8324cf7 +size 88871644 diff --git a/per_country/croatia/README.md b/per_country/croatia/README.md new file mode 100644 index 0000000000000000000000000000000000000000..0ed16e1b2c1aab1d860f7a9dd45a386ec1fde756 --- /dev/null +++ b/per_country/croatia/README.md @@ -0,0 +1,36 @@ +# croatia + +47,140 polygons from `croatia-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/croatia.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `croatia` | +| polygons | **47,140** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `croatia-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`croatia.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/croatia/croatia.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Coast and islands are well-mapped for tourism; the interior (Slavonia) has solid agricultural landuse. diff --git a/per_country/croatia/croatia.parquet b/per_country/croatia/croatia.parquet new file mode 100644 index 0000000000000000000000000000000000000000..45ef2dcf700b0032f0b549d65ae6da745b9034bd --- /dev/null +++ b/per_country/croatia/croatia.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:330da57275744813e91f4b6f71de16d8f20144e78771d8c32966fe1ab8e3c6fe +size 88398398 diff --git a/per_country/cyprus/README.md b/per_country/cyprus/README.md new file mode 100644 index 0000000000000000000000000000000000000000..74d192e3dadfed57c1eb98ade2d1cdfa7c817b33 --- /dev/null +++ b/per_country/cyprus/README.md @@ -0,0 +1,36 @@ +# cyprus + +4,846 polygons from `cyprus-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/cyprus.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `cyprus` | +| polygons | **4,846** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `cyprus-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`cyprus.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/cyprus/cyprus.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +The divided island. OSM coverage is strong in the Republic of Cyprus; the north is mapped but partially via imports. diff --git a/per_country/cyprus/cyprus.parquet b/per_country/cyprus/cyprus.parquet new file mode 100644 index 0000000000000000000000000000000000000000..007788a45f35790b11752f365ab43f0e6f00d5f0 --- /dev/null +++ b/per_country/cyprus/cyprus.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:93667f8594be4421b240889a8ea07916344710775ef54010bd8df2cb07f398b2 +size 6564199 diff --git a/per_country/czech-republic/README.md b/per_country/czech-republic/README.md new file mode 100644 index 0000000000000000000000000000000000000000..4487b2527583b30725e4aa7c58cb74962efd3acd --- /dev/null +++ b/per_country/czech-republic/README.md @@ -0,0 +1,36 @@ +# czech-republic + +271,062 polygons from `czech-republic-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/czech-republic.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `czech-republic` | +| polygons | **271,062** | +| extract_status | **clean** | +| pbf_date | 2026-06-27 | +| source | `czech-republic-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`czech-republic.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/czech-republic/czech-republic.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +One of the best-mapped countries in central Europe. Excellent address, landuse, and building data. diff --git a/per_country/czech-republic/czech-republic.parquet b/per_country/czech-republic/czech-republic.parquet new file mode 100644 index 0000000000000000000000000000000000000000..a59e73db053e51dd6465274088ac679be73b4a3d --- /dev/null +++ b/per_country/czech-republic/czech-republic.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c77a3df100e23e66bba7263e8a682db24fea705ae08d35d37a593b396ee1220d +size 494416392 diff --git a/per_country/denmark/README.md b/per_country/denmark/README.md new file mode 100644 index 0000000000000000000000000000000000000000..2d8f3e887caea43e8203dd7f7b0fada675be8f6e --- /dev/null +++ b/per_country/denmark/README.md @@ -0,0 +1,36 @@ +# denmark + +175,795 polygons from `denmark-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/denmark.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `denmark` | +| polygons | **175,795** | +| extract_status | **clean** | +| pbf_date | 2026-06-27 | +| source | `denmark-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`denmark.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/denmark/denmark.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Among the world's best-mapped countries. Comprehensive address data, full landuse, and very fresh updates. diff --git a/per_country/denmark/denmark.parquet b/per_country/denmark/denmark.parquet new file mode 100644 index 0000000000000000000000000000000000000000..1cc88c6e59482219c8484eb2900dd5d9bf3f2249 --- /dev/null +++ b/per_country/denmark/denmark.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:22904daa2a528fcc67a8d6ee0b8fa92f7ae27357453fc18f9c232d47b8e7d674 +size 91665060 diff --git a/per_country/estonia/README.md b/per_country/estonia/README.md new file mode 100644 index 0000000000000000000000000000000000000000..44beb36be82f728bfa20a209ef3618eb972395ea --- /dev/null +++ b/per_country/estonia/README.md @@ -0,0 +1,36 @@ +# estonia + +47,160 polygons from `estonia-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/estonia.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `estonia` | +| polygons | **47,160** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `estonia-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`estonia.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/estonia/estonia.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Strong nationwide mapping, including detailed landuse and forestry. Tallinn has excellent building footprints. diff --git a/per_country/estonia/estonia.parquet b/per_country/estonia/estonia.parquet new file mode 100644 index 0000000000000000000000000000000000000000..d8126e74663fae2bff8d6964fb69b7cd33f772e2 --- /dev/null +++ b/per_country/estonia/estonia.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a7b27be4f024295f8daf2738fe7732e8e51d0f5a5ab9399dc2ee2e01de74d66d +size 43089925 diff --git a/per_country/faroe-islands/README.md b/per_country/faroe-islands/README.md new file mode 100644 index 0000000000000000000000000000000000000000..2f1684851b6fd949d8b164a2e20b0c27d0931040 --- /dev/null +++ b/per_country/faroe-islands/README.md @@ -0,0 +1,36 @@ +# faroe-islands + +1,278 polygons from `faroe-islands-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/faroe-islands.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `faroe-islands` | +| polygons | **1,278** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `faroe-islands-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`faroe-islands.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/faroe-islands/faroe-islands.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Small, well-mapped archipelago. The 18 main islands are all covered. diff --git a/per_country/faroe-islands/faroe-islands.parquet b/per_country/faroe-islands/faroe-islands.parquet new file mode 100644 index 0000000000000000000000000000000000000000..570d99e63bd96b3054f58f867ee028a4fecbd40d --- /dev/null +++ b/per_country/faroe-islands/faroe-islands.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:17ef717e61552125b8c9172708ca6efc8516ce46d5677a188eed78934ddcbada +size 2637220 diff --git a/per_country/finland/README.md b/per_country/finland/README.md new file mode 100644 index 0000000000000000000000000000000000000000..b0ce9593fa7533a89dcfb26e75b112561d356076 --- /dev/null +++ b/per_country/finland/README.md @@ -0,0 +1,36 @@ +# finland + +427,870 polygons from `finland-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/finland.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `finland` | +| polygons | **427,870** | +| extract_status | **clean** | +| pbf_date | 2026-06-27 | +| source | `finland-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`finland.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/finland/finland.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Excellent nationwide mapping. Strong coverage of forests, lakes, and the very long coastline. diff --git a/per_country/finland/finland.parquet b/per_country/finland/finland.parquet new file mode 100644 index 0000000000000000000000000000000000000000..6651a1baac81a3af01f464dddb4981ae5d747dfb --- /dev/null +++ b/per_country/finland/finland.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:525bc601090ad4b88bcf250d3ea135a9ab12b7361d5be654fd117773c7453f37 +size 511922824 diff --git a/per_country/france/README.md b/per_country/france/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a7bb827772cb7a96a5b0142ba3c57d79e6883b82 --- /dev/null +++ b/per_country/france/README.md @@ -0,0 +1,36 @@ +# france + +492,538 polygons from `france-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/france.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `france` | +| polygons | **492,538** | +| extract_status | **clean** | +| pbf_date | unknown | +| source | `france-latest.osm.pbf` *processed via 26 Geofabrik regional sub-PBFs* | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`france.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/france/france.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Processed via 26 Geofabrik regional sub-PBFs (régions + overseas). The country PBF was removed in favor of the regional breakdown because the parent extract was too large to process in one pass. diff --git a/per_country/france/france.parquet b/per_country/france/france.parquet new file mode 100644 index 0000000000000000000000000000000000000000..3e4c21564d2bbbe259b156432fa0fbbc86bf715e --- /dev/null +++ b/per_country/france/france.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7d727cde54c4a28e9f2b2ae8a5800d591e9ea09dfe88e2761a9369f0d056aa3e +size 607844532 diff --git a/per_country/germany/README.md b/per_country/germany/README.md new file mode 100644 index 0000000000000000000000000000000000000000..2d09f4f94cd2aec0a60f653a05857bc0edcad997 --- /dev/null +++ b/per_country/germany/README.md @@ -0,0 +1,36 @@ +# germany + +1,131,888 polygons from `germany-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/germany.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `germany` | +| polygons | **1,131,888** | +| extract_status | **clean** | +| pbf_date | unknown | +| source | `germany-latest.osm.pbf` *processed via 16 Geofabrik regional sub-PBFs* | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`germany.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/germany/germany.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Processed via 16 Geofabrik regional sub-PBFs (Bundesländer). Highest polygon count of any country in the dataset, reflecting the very active German OSM community. diff --git a/per_country/germany/germany.parquet b/per_country/germany/germany.parquet new file mode 100644 index 0000000000000000000000000000000000000000..5737d8c82cf1c97b673f602742c29d3845f39876 --- /dev/null +++ b/per_country/germany/germany.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:98ff6d412435f5d40e3483c39a658a2e4bb2572fa98ee059e424c812f38a458b +size 852264667 diff --git a/per_country/greece/README.md b/per_country/greece/README.md new file mode 100644 index 0000000000000000000000000000000000000000..24253829f9805e2476d0edcc07cf4a6efbe15ea1 --- /dev/null +++ b/per_country/greece/README.md @@ -0,0 +1,36 @@ +# greece + +45,142 polygons from `greece-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/greece.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `greece` | +| polygons | **45,142** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `greece-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`greece.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/greece/greece.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Athens and Thessaloniki have excellent urban coverage. The islands and mainland mountain areas are well-mapped for hiking. diff --git a/per_country/greece/greece.parquet b/per_country/greece/greece.parquet new file mode 100644 index 0000000000000000000000000000000000000000..0562f9bf14c32ec5f01bf881b19500f7f1f2d8bc --- /dev/null +++ b/per_country/greece/greece.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c0ef20f28240067a845ed89fec288275655c1709a4758f6b4d5df363cd5cf112 +size 71653740 diff --git a/per_country/guernsey-jersey/README.md b/per_country/guernsey-jersey/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e097c687c09baf5403de5a8515eebbdca66525b0 --- /dev/null +++ b/per_country/guernsey-jersey/README.md @@ -0,0 +1,36 @@ +# guernsey-jersey + +670 polygons from `guernsey-jersey-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/guernsey-jersey.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `guernsey-jersey` | +| polygons | **670** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `guernsey-jersey-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`guernsey-jersey.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/guernsey-jersey/guernsey-jersey.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Channel Islands. Two crown dependencies mapped as a single extract. diff --git a/per_country/guernsey-jersey/guernsey-jersey.parquet b/per_country/guernsey-jersey/guernsey-jersey.parquet new file mode 100644 index 0000000000000000000000000000000000000000..bb8c80c7aea264b99480206879b5f9eafa77cee5 --- /dev/null +++ b/per_country/guernsey-jersey/guernsey-jersey.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4192dd92577edf44fbfcb850303cc1fc1abd47aac90fb8d97ad0962cd5878894 +size 532966 diff --git a/per_country/hungary/README.md b/per_country/hungary/README.md new file mode 100644 index 0000000000000000000000000000000000000000..11ab57f4955fc1a8a807589612b61056f8093294 --- /dev/null +++ b/per_country/hungary/README.md @@ -0,0 +1,36 @@ +# hungary + +77,569 polygons from `hungary-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/hungary.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `hungary` | +| polygons | **77,569** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `hungary-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`hungary.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/hungary/hungary.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Budapest has dense urban mapping; the Great Plain (Alföld) has good agricultural landuse. diff --git a/per_country/hungary/hungary.parquet b/per_country/hungary/hungary.parquet new file mode 100644 index 0000000000000000000000000000000000000000..ce8263680c6d9a854d522da57e6683598535cd42 --- /dev/null +++ b/per_country/hungary/hungary.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:753a07f6928211d1d5afb9da5da199496356f5ec0898c391b05ccc96fc98555d +size 78492332 diff --git a/per_country/iceland/README.md b/per_country/iceland/README.md new file mode 100644 index 0000000000000000000000000000000000000000..fd00ea5079acaf59a83a36599a30e85a034c84f4 --- /dev/null +++ b/per_country/iceland/README.md @@ -0,0 +1,36 @@ +# iceland + +47,896 polygons from `iceland-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/iceland.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `iceland` | +| polygons | **47,896** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `iceland-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`iceland.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/iceland/iceland.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Sparse but comprehensive: roads, landuse, and the small settled areas are all well-mapped. The highlands are intentionally not in OSM (no trails). diff --git a/per_country/iceland/iceland.parquet b/per_country/iceland/iceland.parquet new file mode 100644 index 0000000000000000000000000000000000000000..62349564a56d9e71c7e3a2ed0c4d775493dbe5f1 --- /dev/null +++ b/per_country/iceland/iceland.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f5c02f14ee41c115e94ed8cc2f8a6db7789cba681201c59c1d1f097c91efbcf0 +size 62181839 diff --git a/per_country/isle-of-man/README.md b/per_country/isle-of-man/README.md new file mode 100644 index 0000000000000000000000000000000000000000..76d541a2ba303565993358ee3d237738b4ce667e --- /dev/null +++ b/per_country/isle-of-man/README.md @@ -0,0 +1,36 @@ +# isle-of-man + +2,648 polygons from `isle-of-man-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/isle-of-man.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `isle-of-man` | +| polygons | **2,648** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `isle-of-man-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`isle-of-man.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/isle-of-man/isle-of-man.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +British Crown dependency. Small island, good coverage. diff --git a/per_country/isle-of-man/isle-of-man.parquet b/per_country/isle-of-man/isle-of-man.parquet new file mode 100644 index 0000000000000000000000000000000000000000..6ccdc4e5bf2f8c8b5768cc633b5a45afada91be1 --- /dev/null +++ b/per_country/isle-of-man/isle-of-man.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aef05552ef9cb2bb13fdb905a7bd40c922ee2667f6877d76e96ec89b2a93a872 +size 1176072 diff --git a/per_country/italy/README.md b/per_country/italy/README.md new file mode 100644 index 0000000000000000000000000000000000000000..4afd09539675dd2a618b979ef851924090a54585 --- /dev/null +++ b/per_country/italy/README.md @@ -0,0 +1,36 @@ +# italy + +276,991 polygons from `italy-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/italy.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `italy` | +| polygons | **276,991** | +| extract_status | **clean** | +| pbf_date | 2026-06-27 | +| source | `italy-latest.osm.pbf` *processed via 5 Geofabrik regional sub-PBFs* | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`italy.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/italy/italy.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Processed via 5 Geofabrik regional sub-PBFs (centro, isole, nord-est, nord-ovest, sud). Strong urban mapping across all regions. diff --git a/per_country/italy/italy.parquet b/per_country/italy/italy.parquet new file mode 100644 index 0000000000000000000000000000000000000000..27b559c563dd76c12fc44be5ae0deef70036474e --- /dev/null +++ b/per_country/italy/italy.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2cb898597cb052fd11badb710d7d897045af4add6f42bb41b9c81a06a50873dc +size 587718752 diff --git a/per_country/kosovo/README.md b/per_country/kosovo/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a9bec01f672734e0b50d84c7fdd351e0f9092330 --- /dev/null +++ b/per_country/kosovo/README.md @@ -0,0 +1,36 @@ +# kosovo + +5,377 polygons from `kosovo-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/kosovo.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `kosovo` | +| polygons | **5,377** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `kosovo-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`kosovo.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/kosovo/kosovo.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Recognized by many OSM contributors as a separate territory. Polygons reflect the boundary used by Geofabrik. diff --git a/per_country/kosovo/kosovo.parquet b/per_country/kosovo/kosovo.parquet new file mode 100644 index 0000000000000000000000000000000000000000..794d0b8b5cb162da8f497a6ca7acaca0db64d529 --- /dev/null +++ b/per_country/kosovo/kosovo.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25c885fb0040ad029a397e1aec6d33573a5177c0997dc6613f8d123e698dfe3a +size 6681122 diff --git a/per_country/latvia/README.md b/per_country/latvia/README.md new file mode 100644 index 0000000000000000000000000000000000000000..6489edc91e5d5031e6f628470f3525e1b39272c7 --- /dev/null +++ b/per_country/latvia/README.md @@ -0,0 +1,36 @@ +# latvia + +47,133 polygons from `latvia-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/latvia.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `latvia` | +| polygons | **47,133** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `latvia-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`latvia.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/latvia/latvia.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Solid nationwide coverage; Riga has detailed urban data. diff --git a/per_country/latvia/latvia.parquet b/per_country/latvia/latvia.parquet new file mode 100644 index 0000000000000000000000000000000000000000..20c3d5ab48e83f5b033ca1bbf936010a92f9ab5e --- /dev/null +++ b/per_country/latvia/latvia.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:20a7842a1e2a6cf6eb9b8c9a589a493ac6ae3386f7ce0365170410e3f476337a +size 49902882 diff --git a/per_country/liechtenstein/README.md b/per_country/liechtenstein/README.md new file mode 100644 index 0000000000000000000000000000000000000000..5dc6748a8c944bf35221761ebe9cd9d27c0da6f9 --- /dev/null +++ b/per_country/liechtenstein/README.md @@ -0,0 +1,36 @@ +# liechtenstein + +565 polygons from `liechtenstein-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/liechtenstein.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `liechtenstein` | +| polygons | **565** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `liechtenstein-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`liechtenstein.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/liechtenstein/liechtenstein.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +One of the smallest dataset countries — fewer than 600 polygons but well-mapped for hiking and landuse. diff --git a/per_country/liechtenstein/liechtenstein.parquet b/per_country/liechtenstein/liechtenstein.parquet new file mode 100644 index 0000000000000000000000000000000000000000..80669adee8bd8c357de2fca02c6afc1789aa6282 --- /dev/null +++ b/per_country/liechtenstein/liechtenstein.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7c3a2658594912f109121f916a2fc8e2dd38cb03c4ce9453a69468d22e3295ef +size 966138 diff --git a/per_country/lithuania/README.md b/per_country/lithuania/README.md new file mode 100644 index 0000000000000000000000000000000000000000..4d4df4b30303a83eaab8501d485a16811f4c4369 --- /dev/null +++ b/per_country/lithuania/README.md @@ -0,0 +1,36 @@ +# lithuania + +76,550 polygons from `lithuania-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/lithuania.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `lithuania` | +| polygons | **76,550** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `lithuania-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`lithuania.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/lithuania/lithuania.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Good nationwide coverage. Vilnius has detailed urban data; forestry is well-mapped. diff --git a/per_country/lithuania/lithuania.parquet b/per_country/lithuania/lithuania.parquet new file mode 100644 index 0000000000000000000000000000000000000000..a1ab1e03ae0e6082a812b3b384fc0b8fdfaa07d7 --- /dev/null +++ b/per_country/lithuania/lithuania.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c0f35c247b5991537375ebc2c132fa9fbc845ec71c9606f45c39f6faf217a6c0 +size 99341974 diff --git a/per_country/luxembourg/README.md b/per_country/luxembourg/README.md new file mode 100644 index 0000000000000000000000000000000000000000..d3b5cd74a643a229cd4a72a7db583301da3a9357 --- /dev/null +++ b/per_country/luxembourg/README.md @@ -0,0 +1,36 @@ +# luxembourg + +11,460 polygons from `luxembourg-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/luxembourg.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `luxembourg` | +| polygons | **11,460** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `luxembourg-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`luxembourg.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/luxembourg/luxembourg.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Small but very densely mapped. Full landuse and building footprints nationwide. diff --git a/per_country/luxembourg/luxembourg.parquet b/per_country/luxembourg/luxembourg.parquet new file mode 100644 index 0000000000000000000000000000000000000000..8902ca270e83c248fab99a43d023fbd269bb6df9 --- /dev/null +++ b/per_country/luxembourg/luxembourg.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8a9ac614c8daf51743de46f52b2cf409e090a37b2c1d0171e9c8c2bd42a2d12b +size 11861872 diff --git a/per_country/malta/README.md b/per_country/malta/README.md new file mode 100644 index 0000000000000000000000000000000000000000..8edfbab49e8fddbd3e26e5a237e23c472d54c2af --- /dev/null +++ b/per_country/malta/README.md @@ -0,0 +1,36 @@ +# malta + +620 polygons from `malta-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/malta.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `malta` | +| polygons | **620** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `malta-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`malta.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/malta/malta.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Tiny archipelago, fully covered. Buildings and roads are exhaustively mapped. diff --git a/per_country/malta/malta.parquet b/per_country/malta/malta.parquet new file mode 100644 index 0000000000000000000000000000000000000000..906ad162e68ebad53990e22f8e1a50cea491fc3d --- /dev/null +++ b/per_country/malta/malta.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e51c6688c89ef19f575818f853a36b7715d9a459820789d6739ac1fe46c7aabe +size 672628 diff --git a/per_country/moldova/README.md b/per_country/moldova/README.md new file mode 100644 index 0000000000000000000000000000000000000000..d1a17f906dc6b8608119a5976f5eed60d98cba9b --- /dev/null +++ b/per_country/moldova/README.md @@ -0,0 +1,36 @@ +# moldova + +35,690 polygons from `moldova-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/moldova.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `moldova` | +| polygons | **35,690** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `moldova-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`moldova.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/moldova/moldova.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Capital Chișinău is well-mapped; rural landuse is patchier. diff --git a/per_country/moldova/moldova.parquet b/per_country/moldova/moldova.parquet new file mode 100644 index 0000000000000000000000000000000000000000..45a11c14ef0a51c701a27577d0a7de3eaeda7cab --- /dev/null +++ b/per_country/moldova/moldova.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f4d2b6fac0ea6ceae766dcb522b096e4d00365b35942660c439371ba4a76b015 +size 34022550 diff --git a/per_country/monaco/README.md b/per_country/monaco/README.md new file mode 100644 index 0000000000000000000000000000000000000000..ea85d492530434c43efa1c274bdc391b3fa5eb39 --- /dev/null +++ b/per_country/monaco/README.md @@ -0,0 +1,36 @@ +# monaco + +2 polygons from `monaco-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/monaco.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `monaco` | +| polygons | **2** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `monaco-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`monaco.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/monaco/monaco.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +The smallest country in the dataset by polygon count. Only 2 polygons survive the [0.1, 100] km² area filter — Monaco's land area is 2.02 km², so most of the country fits in one large polygon. diff --git a/per_country/monaco/monaco.parquet b/per_country/monaco/monaco.parquet new file mode 100644 index 0000000000000000000000000000000000000000..aa3fa9a14348e585a0d6812c1f454b2d92abe5ec --- /dev/null +++ b/per_country/monaco/monaco.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4054c6cfc758cef3b1c6236c39b4d7a583c3a266c683717dc0ad1433474ca565 +size 15885 diff --git a/per_country/montenegro/README.md b/per_country/montenegro/README.md new file mode 100644 index 0000000000000000000000000000000000000000..27317e090971678a20ec2576ea3b6778b2b9457f --- /dev/null +++ b/per_country/montenegro/README.md @@ -0,0 +1,36 @@ +# montenegro + +11,785 polygons from `montenegro-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/montenegro.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `montenegro` | +| polygons | **11,785** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `montenegro-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`montenegro.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/montenegro/montenegro.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Coast and Bay of Kotor are well-mapped; the Dinaric interior has good hiking infrastructure. diff --git a/per_country/montenegro/montenegro.parquet b/per_country/montenegro/montenegro.parquet new file mode 100644 index 0000000000000000000000000000000000000000..9958006fe3fd8fe8d7ac598027c23fdc3bcc826f --- /dev/null +++ b/per_country/montenegro/montenegro.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f57886998f6b690b876a4c354a48e981c8f70c3b8326b6fc31c6fd143878e277 +size 17278039 diff --git a/per_country/netherlands/README.md b/per_country/netherlands/README.md new file mode 100644 index 0000000000000000000000000000000000000000..4f3c2cb85b453c36ac766acb501d3465a843e71e --- /dev/null +++ b/per_country/netherlands/README.md @@ -0,0 +1,36 @@ +# netherlands + +207,459 polygons from `netherlands-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/netherlands.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `netherlands` | +| polygons | **207,459** | +| extract_status | **clean** | +| pbf_date | 2026-06-27 | +| source | `netherlands-latest.osm.pbf` *processed via 12 Geofabrik regional sub-PBFs* | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`netherlands.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/netherlands/netherlands.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Processed via 12 Geofabrik provincial sub-PBFs. Among the best-mapped countries in the world. diff --git a/per_country/netherlands/netherlands.parquet b/per_country/netherlands/netherlands.parquet new file mode 100644 index 0000000000000000000000000000000000000000..3e7e56c3fbe6e3e62165aec8fc30031b528be7bb --- /dev/null +++ b/per_country/netherlands/netherlands.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2b24d1e630419fb0da47ec43972e7af5a765504b6426bda0e230983ff2caf91b +size 169330500 diff --git a/per_country/norway/README.md b/per_country/norway/README.md new file mode 100644 index 0000000000000000000000000000000000000000..3daeddf3cfb80f5c037f50b75b07a79bb295f13b --- /dev/null +++ b/per_country/norway/README.md @@ -0,0 +1,36 @@ +# norway + +413,801 polygons from `norway-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/norway.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `norway` | +| polygons | **413,801** | +| extract_status | **clean** | +| pbf_date | 2026-06-27 | +| source | `norway-latest.osm.pbf` *processed via 6 Geofabrik regional sub-PBFs* | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`norway.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/norway/norway.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Processed via 6 Geofabrik regional sub-PBFs (landsdeler + Svalbard). Very long coastline and fjords make this a polygon-rich dataset. diff --git a/per_country/norway/norway.parquet b/per_country/norway/norway.parquet new file mode 100644 index 0000000000000000000000000000000000000000..eb2e45cc58e64e394fdf4cba1aab00c510f82fe4 --- /dev/null +++ b/per_country/norway/norway.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:85b3a3883edad5d269439d12914b8f9496bbd92ed6d629dc459c16b41e6790d1 +size 1383553981 diff --git a/per_country/poland/README.md b/per_country/poland/README.md new file mode 100644 index 0000000000000000000000000000000000000000..97d465611f631c0592d30c80d676f62f37ec05c0 --- /dev/null +++ b/per_country/poland/README.md @@ -0,0 +1,36 @@ +# poland + +637,908 polygons from `poland-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/poland.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `poland` | +| polygons | **637,908** | +| extract_status | **clean** | +| pbf_date | 2026-06-27 | +| source | `poland-latest.osm.pbf` *processed via 16 Geofabrik regional sub-PBFs* | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`poland.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/poland/poland.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Processed via 16 Geofabrik voivodeship sub-PBFs. Active community; urban mapping is strong across all 16 regions. diff --git a/per_country/poland/poland.parquet b/per_country/poland/poland.parquet new file mode 100644 index 0000000000000000000000000000000000000000..c65dbbd76a7832811399d216f8a0c32ba7c5d885 --- /dev/null +++ b/per_country/poland/poland.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5f6d1b3e0aed6565e4f229a7dc975cfc2e2a5ac8208606b1b0c41f31ba9118e7 +size 514308864 diff --git a/per_country/portugal/README.md b/per_country/portugal/README.md new file mode 100644 index 0000000000000000000000000000000000000000..980e33b7c6b1d29c671dcacec26976719277a306 --- /dev/null +++ b/per_country/portugal/README.md @@ -0,0 +1,36 @@ +# portugal + +66,287 polygons from `portugal-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/portugal.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `portugal` | +| polygons | **66,287** | +| extract_status | **clean** | +| pbf_date | 2026-06-27 | +| source | `portugal-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`portugal.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/portugal/portugal.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Mainland and Madeira/Azores are well-mapped. Lisbon and Porto have detailed urban data. diff --git a/per_country/portugal/portugal.parquet b/per_country/portugal/portugal.parquet new file mode 100644 index 0000000000000000000000000000000000000000..63a18374c4955da39078c5145f6937d18266c278 --- /dev/null +++ b/per_country/portugal/portugal.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0d70cc8650f51571b61cfd89001f92c531ca683a2f3857164724c0e6ef20f49e +size 149876305 diff --git a/per_country/romania/README.md b/per_country/romania/README.md new file mode 100644 index 0000000000000000000000000000000000000000..fa1bb552b626ab03ca44ccf93c36255d1807f095 --- /dev/null +++ b/per_country/romania/README.md @@ -0,0 +1,36 @@ +# romania + +115,401 polygons from `romania-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/romania.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `romania` | +| polygons | **115,401** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `romania-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`romania.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/romania/romania.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Bucharest and the major cities have strong urban coverage; the Carpathians are well-mapped for hiking. diff --git a/per_country/romania/romania.parquet b/per_country/romania/romania.parquet new file mode 100644 index 0000000000000000000000000000000000000000..d0a9a4a9d9a6d6564271a30f15d6df8540f11f79 --- /dev/null +++ b/per_country/romania/romania.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8522ea18990d040907e35df41224d586fac612d3699e1c76ed8ec008771ae59d +size 169310795 diff --git a/per_country/serbia/README.md b/per_country/serbia/README.md new file mode 100644 index 0000000000000000000000000000000000000000..c451df5ae900b748ebadcb561a1216436388fc9e --- /dev/null +++ b/per_country/serbia/README.md @@ -0,0 +1,36 @@ +# serbia + +47,189 polygons from `serbia-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/serbia.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `serbia` | +| polygons | **47,189** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `serbia-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`serbia.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/serbia/serbia.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Belgrade has dense urban mapping; rural landuse is moderate. diff --git a/per_country/serbia/serbia.parquet b/per_country/serbia/serbia.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f208c168c9408dfb5550aeccbdec3cd6c7225008 --- /dev/null +++ b/per_country/serbia/serbia.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d5cb189b0afc536c384c166f0b3d487b6822f8e283102a3110c81bb5636a15c5 +size 52065023 diff --git a/per_country/slovakia/README.md b/per_country/slovakia/README.md new file mode 100644 index 0000000000000000000000000000000000000000..7135b4e9482305940816983911d5f15c9c98edf6 --- /dev/null +++ b/per_country/slovakia/README.md @@ -0,0 +1,36 @@ +# slovakia + +54,888 polygons from `slovakia-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/slovakia.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `slovakia` | +| polygons | **54,888** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `slovakia-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`slovakia.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/slovakia/slovakia.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Strong mapping in the lowlands and around Bratislava; the Tatras are well-mapped for hiking. diff --git a/per_country/slovakia/slovakia.parquet b/per_country/slovakia/slovakia.parquet new file mode 100644 index 0000000000000000000000000000000000000000..ace8284a2800bd156f6a3ee2a10e4981de661cc7 --- /dev/null +++ b/per_country/slovakia/slovakia.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bc112c8f4d1ae616a2b93559a671daaf4e4084008a32e55c81c95309a251fa77 +size 94300220 diff --git a/per_country/slovenia/README.md b/per_country/slovenia/README.md new file mode 100644 index 0000000000000000000000000000000000000000..24a913144922d3112f367fbef7ab2154c6649ac8 --- /dev/null +++ b/per_country/slovenia/README.md @@ -0,0 +1,36 @@ +# slovenia + +41,526 polygons from `slovenia-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/slovenia.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `slovenia` | +| polygons | **41,526** | +| extract_status | **clean** | +| pbf_date | 2026-06-26 | +| source | `slovenia-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`slovenia.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/slovenia/slovenia.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Small, densely-mapped country. The Julian Alps and the Karst are particularly well-covered. diff --git a/per_country/slovenia/slovenia.parquet b/per_country/slovenia/slovenia.parquet new file mode 100644 index 0000000000000000000000000000000000000000..33f1a5070b035da9b0c8f616babb8730bc73fab7 --- /dev/null +++ b/per_country/slovenia/slovenia.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a6f43c1d5e6df777fe0ee044493127a76d33d7069dac46131ede8792167d4fe5 +size 174142533 diff --git a/per_country/spain/README.md b/per_country/spain/README.md new file mode 100644 index 0000000000000000000000000000000000000000..8bed5b35d8808fa77cb8ddfa72c1112f5a6484fd --- /dev/null +++ b/per_country/spain/README.md @@ -0,0 +1,36 @@ +# spain + +240,230 polygons from `spain-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/spain.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `spain` | +| polygons | **240,230** | +| extract_status | **clean** | +| pbf_date | 2026-06-27 | +| source | `spain-latest.osm.pbf` *processed via 18 Geofabrik regional sub-PBFs* | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`spain.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/spain/spain.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Processed via 17 Geofabrik autonomous-community sub-PBFs (comunidades + Ceuta/Melilla). Excellent coverage nationwide. diff --git a/per_country/spain/spain.parquet b/per_country/spain/spain.parquet new file mode 100644 index 0000000000000000000000000000000000000000..cdf6a5d779f8314a5b2d6c1c40dcd58b432a5cbc --- /dev/null +++ b/per_country/spain/spain.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a5fa584f2a9ddb8a2aaddb5f89e4a0b81d11b723cd4431c9053fd404e9bfccf6 +size 452212512 diff --git a/per_country/sweden/README.md b/per_country/sweden/README.md new file mode 100644 index 0000000000000000000000000000000000000000..28e9e7d2f24d4ba4a95a363b12f0f5ab5c333dc2 --- /dev/null +++ b/per_country/sweden/README.md @@ -0,0 +1,36 @@ +# sweden + +397,661 polygons from `sweden-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/sweden.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `sweden` | +| polygons | **397,661** | +| extract_status | **clean** | +| pbf_date | 2026-06-27 | +| source | `sweden-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`sweden.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/sweden/sweden.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Strong nationwide mapping. The northern forest and mountain areas are well-covered despite low population. diff --git a/per_country/sweden/sweden.parquet b/per_country/sweden/sweden.parquet new file mode 100644 index 0000000000000000000000000000000000000000..39389733e856bfae9f89df0e51f9414ab98e4ce0 --- /dev/null +++ b/per_country/sweden/sweden.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:42cdded757775a46565726b1a46e4e046e49e40c6e9f0308220757fe58c284da +size 514772784 diff --git a/per_country/switzerland/README.md b/per_country/switzerland/README.md new file mode 100644 index 0000000000000000000000000000000000000000..ee4b672d32111908f63c94b0af36385911762e4c --- /dev/null +++ b/per_country/switzerland/README.md @@ -0,0 +1,36 @@ +# switzerland + +61,156 polygons from `switzerland-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/switzerland.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `switzerland` | +| polygons | **61,156** | +| extract_status | **clean** | +| pbf_date | 2026-06-27 | +| source | `switzerland-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`switzerland.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/switzerland/switzerland.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Among the world's best-mapped countries. Excellent landuse, buildings, and the famous Swiss hiking trail network. diff --git a/per_country/switzerland/switzerland.parquet b/per_country/switzerland/switzerland.parquet new file mode 100644 index 0000000000000000000000000000000000000000..ad6af1b1b4465e9fbea1451b94277122974f2843 --- /dev/null +++ b/per_country/switzerland/switzerland.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a50c3f07dce3a1b8c45ea9348fb261ea98fbe3a2223cfad2ce0ed6911e169155 +size 140447287 diff --git a/per_country/turkey/README.md b/per_country/turkey/README.md new file mode 100644 index 0000000000000000000000000000000000000000..4427f060dd3ca30cd6cc71112f9d6af345b8e5b4 --- /dev/null +++ b/per_country/turkey/README.md @@ -0,0 +1,36 @@ +# turkey + +113,609 polygons from `turkey-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/turkey.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `turkey` | +| polygons | **113,609** | +| extract_status | **clean** | +| pbf_date | 2026-06-27 | +| source | `turkey-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`turkey.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/turkey/turkey.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Istanbul, Ankara, and the Aegean coast have strong urban mapping; eastern Anatolia is sparser. The European portion of Turkey (Eastern Thrace) is what's in this dataset. diff --git a/per_country/turkey/turkey.parquet b/per_country/turkey/turkey.parquet new file mode 100644 index 0000000000000000000000000000000000000000..3e61a8d77cc44f78fbc31f2f2bdb676cff83f4a1 --- /dev/null +++ b/per_country/turkey/turkey.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b34180d67b917e7a7320dd00bb37b00dd295b7057e1ae2f6109e9c5ef7c7f178 +size 254554328 diff --git a/per_country/ukraine/README.md b/per_country/ukraine/README.md new file mode 100644 index 0000000000000000000000000000000000000000..06b04b53b5fcd19991fe3e3e115b36d1c88b7a1b --- /dev/null +++ b/per_country/ukraine/README.md @@ -0,0 +1,36 @@ +# ukraine + +645,578 polygons from `ukraine-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/ukraine.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `ukraine` | +| polygons | **645,578** | +| extract_status | **clean** | +| pbf_date | 2026-06-27 | +| source | `ukraine-latest.osm.pbf` | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`ukraine.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/ukraine/ukraine.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Active mapping despite the conflict. Kyiv, Lviv, Kharkiv, and Odesa have strong urban coverage. diff --git a/per_country/ukraine/ukraine.parquet b/per_country/ukraine/ukraine.parquet new file mode 100644 index 0000000000000000000000000000000000000000..302c9e627e1292e22473b7d697aa01a21a169c5e --- /dev/null +++ b/per_country/ukraine/ukraine.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fd092c29df6cc70e4ca1b3c682c846fddd2e01ff8cca98ccccefa6fdbf856447 +size 466294461 diff --git a/per_country/united-kingdom/README.md b/per_country/united-kingdom/README.md new file mode 100644 index 0000000000000000000000000000000000000000..028a4fb2ce233d537e6c83d343aec7537a133e2d --- /dev/null +++ b/per_country/united-kingdom/README.md @@ -0,0 +1,36 @@ +# united-kingdom + +205,002 polygons from `united-kingdom-latest.osm.pbf` on Geofabrik +([source](https://download.geofabrik.de/europe/united-kingdom.html)), filtered by the +[22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and +classified by continent + size bin. + +| field | value | +|-------|-------| +| country | `united-kingdom` | +| polygons | **205,002** | +| extract_status | **clean** | +| pbf_date | 2026-06-27 | +| source | `united-kingdom-latest.osm.pbf` *processed via 3 Geofabrik regional sub-PBFs* | +| Geofabrik extract | | + +## Geometry + +The parquet file in this folder +(`united-kingdom.parquet`) has the same schema as the combined +`combined/all_europe.parquet`. Each row carries the polygon +**geometry as WKT** (default), plus centroid + area + the +whitelist-matched tag. + +Load with: + +```python +import pyarrow.parquet as pq +table = pq.read_table("per_country/united-kingdom/united-kingdom.parquet") +df = table.to_pandas() +# df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads +``` + +## Notes + +Processed via 3 Geofabrik sub-PBFs (england, scotland, wales). Among the world's best-mapped countries. diff --git a/per_country/united-kingdom/united-kingdom.parquet b/per_country/united-kingdom/united-kingdom.parquet new file mode 100644 index 0000000000000000000000000000000000000000..65c1ef54ec0b6ff3d21468233325f73fcef46974 --- /dev/null +++ b/per_country/united-kingdom/united-kingdom.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9f6b36987e33ab68fd95bff59058274d587c33679be2f08272a1e46902d37ea4 +size 165626299