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-0.5.1.tar.gz (145.5 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-0.5.1-py3-none-any.whl (159.0 kB view details)

Uploaded Python 3

File details

Details for the file odc_geo-0.5.1.tar.gz.

File metadata

  • Download URL: odc_geo-0.5.1.tar.gz
  • Upload date:
  • Size: 145.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for odc_geo-0.5.1.tar.gz
Algorithm Hash digest
SHA256 de157e850c7a523807454fe161d69af480a2a5416367f8626039cf173cf919fa
MD5 cc5a1e69758c862d3461c8e1797e194b
BLAKE2b-256 f37508d98726a056d3e2c885e5119f0a2fb86c0cbf9495294407b9bc28bab9a1

See more details on using hashes here.

File details

Details for the file odc_geo-0.5.1-py3-none-any.whl.

File metadata

  • Download URL: odc_geo-0.5.1-py3-none-any.whl
  • Upload date:
  • Size: 159.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for odc_geo-0.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 3ecec8d926ae505c756d9daacd612bab8b34b13269f3b0bdb97983d39cfbee3b
MD5 fe19397f116c779b82293f2a71ece588
BLAKE2b-256 93702e3e716b3d3cc24e34f7cb7f3a4b9870e8f40fe5f4a33c8634bb680cc382

See more details on using hashes here.

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