Zarr는 과학 데이터를 위한 다차원 배열 저장 형식입니다. 청크 단위 저장, 압축, 병렬 접근을 지원합니다. 기후 데이터, 위성 시계열, 지리공간 데이터에 이상적입니다.
주요 기능

Zarr 형식 소개
Zarr is a format for storing large multidimensional arrays: the data is cut into chunks, and each chunk is compressed and stored separately. That is why an array is read in pieces, in parallel and straight from the cloud — S3, GCS or plain HTTP. In scientific data it is gradually displacing NetCDF and HDF5 precisely because of that cloud access.
An OpenStreetMap map is vector objects while Zarr is about arrays, so the export rasterizes the selected area into a regular grid. The format is taken when the map is needed not as a drawing but as a data layer next to climate data, satellite series or a computational model in xarray and Dask.
The archive holds a Zarr group of version two with two arrays: feature_count — how many OSM objects fell into the cell, and land_use — the code of the dominant layer in the cell. The group attributes record the coordinate system, the bounding box of the area, the grid step and the list of source layers; the data is split into 256 × 256 chunks and compressed (Blosc with Zstandard by default).
The default grid step is 0.001 degrees, about a hundred meters; over small areas it is refined automatically so that the result does not degenerate into a few cells. The grid size is limited to 10,000 × 10,000 cells. The format is in beta status: this is aggregated density and categories, not vector geometry — for that, go to GeoParquet or FlatGeobuf.
Zarr 파일을 여는 프로그램
다음 프로그램과 애플리케이션으로 OSM2CDR에서 내보낸 Zarr (beta)(.zarr.zip) 파일을 열고 편집하고 작업할 수 있습니다:
Format specifications
- Open standard
- 3D coordinates supported
- Lossless (no quality loss)
- Stores feature attributes
- Output: 32 files in archive
- Zarr v2 chunked N-dimensional array directory. Cloud-native alternative to NetCDF/HDF5. Reads in xarray, GDAL 3.1+.
Zarr 지도 사용자
Zarr 내보내기 방법
내보낸 뒤 여는 방법
- Python — zarr.open(zarr.ZipStore('map.zarr.zip'), mode='r') reads the archive without unpacking; the feature_count and land_use arrays then behave like ordinary NumPy arrays.
- xarray and Dask — unpack the directory and open it through open_zarr: the arrays are computed chunk by chunk and do not require holding everything in memory.
- Attributes — the root group attributes hold the coordinate system, the bounding box of the area, the grid step and the list of layers; from them the geographic referencing of the cells is reconstructed.
- GDAL — modern versions open Zarr as a multidimensional raster, after which the set is converted to GeoTIFF with the standard utilities.
- A quick look — matplotlib over the land_use array gives a picture of the categories; if you need a familiar map, take GeoTIFF or PNG.
Zarr 형식의 인기 지도
Zarr (beta) 지도 내보내기 받기
OpenStreetMap에서 전문가용 Zarr 지도를 다운로드하세요. 즉시 생성, 모든 영역 지원.
자주 묻는 질문
관련 형식
함께 자주 내보내는 형식
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