Download Pullara map in HDF5 format
A map built from OpenStreetMap data, ready to download
Customize the map
Open this place's area in the constructor and adjust everything to your needs
Open in constructor →Map passport
What this map contains by default
This is how the map is built as-is — every setting can be changed in the constructor.
.h5
About HDF5
Map of Pullara in HDF5 — an export of real OpenStreetMap data for the selected area.
HDF5 is a binary self-describing container for scientific data with a filesystem inside the file: groups (folders), datasets (arrays), attributes (metadata). On osm2cdr the .h5 export works honestly like this: each OSM layer becomes an HDF5 group holding longitude and latitude datasets (feature centroids) plus one dataset per attribute field as strings. It is a self-describing container of coordinates and attributes, not a gridded scoring raster or DEM cube — the exporter does not compute such layers. Written via h5py; readable in h5py, HDFView, MATLAB, R, IDL.
Which layers are in the file
This file for the selected area contains:
- Roads
- Buildings
- Water
- Points of interest
Coordinate systems
WGS 84 (EPSG:4326), selectable in the wizard
Units
Meters (projected in the chosen coordinate system)
| Category | GIS |
| File extension | .h5 |
| Tier | Open Beta |
How to use HDF5 for Pullara
- HDFView (free, HDF Group) — open the file and look through the tree of groups and datasets, the values and the attributes, without programming anything.
- Python — h5py.File("export.h5"); a call to visit(print) shows the whole hierarchy, and f["buildings"]["longitude"][:] returns the array of coordinates.
- pandas — the datasets of one group have equal length, so the longitude, latitude and attribute columns fold into a DataFrame directly.
Programs that open HDF5
FAQ: HDF5 for Pullara
Does the file contain scoring rasters (Walk/Green) or DEM cubes?
No. The current exporter writes feature centroids (lon/lat) and their attributes grouped by layer. It does not compute analytical gridded layers (density, scoring, elevation+slope).
How do I inspect the .h5 structure?
Open the file in free HDFView (tree of groups and datasets), or in Python: h5py.File('export.h5').visit(print) prints the whole hierarchy.
How does HDF5 differ from NetCDF in our export?
Logically both ship the same thing — centroid coordinates and attributes. HDF5 groups them per layer in a group hierarchy, NetCDF stores them as variables on a feature axis.
Are building outlines and road lines preserved?
No. The datasets hold centroids — one point per feature. If you need the original geometry, take GeoJSON, GeoPackage or GeoParquet, and use HDF5 as a container for computation.
How do I find out which fields are in the file?
The file is self-describing: the dataset names inside a group are the names of the attribute fields, and the group attributes record the feature count and the geometry type. HDFView or a visit(print) walk in h5py will show everything without documentation.
