Skip to main content

Geometry Classes and Operations (opendatacube)

Project description

Documentation Status Test Status Test Coverage Conda Version Join Discord for support

This library combines geometry shape classes from shapely with CRS from pyproj to provide projection aware Geometry. It exposes all the functionality provided by shapely modules, but will refuse operations between geometries defined in different projections. Geometries can be brought into a common projection with Geometry.to_crs method.

Based on that foundation a number of data types and utilities useful for working with geospatial metadata are implemented. Of particular importance is GeoBox. It is an abstraction for a geo-registered bounded pixel plane where a linear mapping from pixel coordinates to the real world is defined.

To make working with geo-registered raster data easier an integration with xarray is provided. Importing odc.geo.xr enables the .odc. accessor on every xarray.Dataset and xarray.DataArray. This exposes geospatial information of a raster loaded with Open Datacube or rioxarray. Methods for attaching geospatial information to xarray objects in a robust way are also provided. Geospatial information attached in this way survives most operations you might do on the data: basic mathematical operations, type conversions, cropping, serialization to most formats like zarr, netcdf, GeoTIFF.

For more details see Documentation.

Map with GeoBoxes

Origins

This repository contains geometry related code extracted from Open Datacube.

For details and motivation see ODC-EP-06 enhancement proposal.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

odc_geo-0.5.3.tar.gz (144.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

odc_geo-0.5.3-py3-none-any.whl (159.6 kB view details)

Uploaded Python 3

File details

Details for the file odc_geo-0.5.3.tar.gz.

File metadata

  • Download URL: odc_geo-0.5.3.tar.gz
  • Upload date:
  • Size: 144.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for odc_geo-0.5.3.tar.gz
Algorithm Hash digest
SHA256 57aca2e894b8d8e82aa2e2f607630bb33e2b480f68077b52c273ff2b8367dfc7
MD5 a43d481e83e0a2ffec90281174f4c25f
BLAKE2b-256 337d409d01745f55e2577fc8a397fd3c54207be65ef95a99a79ca512c42c473b

See more details on using hashes here.

Provenance

The following attestation bundles were made for odc_geo-0.5.3.tar.gz:

Publisher: main.yml on opendatacube/odc-geo

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file odc_geo-0.5.3-py3-none-any.whl.

File metadata

  • Download URL: odc_geo-0.5.3-py3-none-any.whl
  • Upload date:
  • Size: 159.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for odc_geo-0.5.3-py3-none-any.whl
Algorithm Hash digest
SHA256 5d22c7933a45653d7d0d9b4ead92579bf8bec627d6a3d4bf7e13d77b786e3662
MD5 a281b00a8245408c6a74444aaa39c509
BLAKE2b-256 10dbcbb4bfa7bb7a1b91f8be7964b2477730d86516756afddaa79cd8683a30d8

See more details on using hashes here.

Provenance

The following attestation bundles were made for odc_geo-0.5.3-py3-none-any.whl:

Publisher: main.yml on opendatacube/odc-geo

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page