NetCDF (Network Common Data Form)
Open BetaNetCDF is a self-describing binary format for scientific data and the de facto standard in climate science, oceanography, and satellite remote sensing (ERA5, CMIP6, MODIS). On osm2cdr the OSM to .nc export works honestly like this: for each layer we take feature centroids (longitude/latitude) plus their attributes and write them through xarray as variables sharing a feature-index axis. The result is a compact point dataset with metadata (title, source, bbox), not a ready-made climate density grid cube — that would require a separate aggregation step. The file opens in xarray, Panoply, GDAL, and any NetCDF tool.
主要特点
关于 NetCDF 格式
NetCDF is a self-describing binary container for scientific data: along with the numbers it holds variable names, dimensions and attributes, so the file can be read without external schemas and many years later. In climatology, oceanography and remote sensing it is the working standard — ERA5, CMIP6 and MODIS products are distributed in it.
Exporting OSM into .nc is needed where city objects have to end up in the same pipeline as scientific data: mixing points of interest into a climate sample in xarray, attaching a slice of terrain to a study, practising on real data with CDO, NCO and ncdump.
The export is arranged honestly and simply: for each layer the centroids of the objects (longitude and latitude) and their attributes are taken and written through xarray as variables on a common object-index axis; layers are merged into one file with the global attributes title, source and the area bounds. This is a point dataset, not a ready gridded density cube — a cell grid has to be built by a separate aggregation. The shape of polygons and lines is not preserved in such a transfer: if you need geometry, take GeoJSON or GeoPackage.
打开 NetCDF 文件的程序
以下程序可以打开、编辑和处理从 OSM2CDR 导出的 NetCDF (Network Common Data Form)（.nc）文件：
格式规格
- 开放标准
- 仅 2D
- 无损（无质量损失）
- 存储要素属性
- 输出：1 个文件
- A single .nc written via xarray: feature centroids (lon/lat) and attributes share a feature-index axis; a point dataset with metadata, not a density grid cube.
谁在使用 NetCDF 地图
如何导出 NetCDF
导出后如何打开
- Panoply (free, NASA GISS) — open the .nc and quickly see which variables and how many objects are inside, without writing any code.
- Python and xarray — xarray.open_dataset("map.nc") and then the usual work with a dataset: slices, merging with your own arrays, export into other formats.
- ncdump -h map.nc — show the file structure in a terminal in a second: variables, dimensions, global attributes.
- CDO and NCO — if the file has to be mixed into an existing climate pipeline: merging, cropping, renaming variables.
- QGIS through the GDAL NetCDF driver — a visual check that the points landed where they were expected on the map.
NetCDF 格式的热门地图
导出 NetCDF (Network Common Data Form) 地图
从 OpenStreetMap 下载专业的 NetCDF 地图。即时生成，任意区域。