Skip to main content

Geometry Classes and Operations (opendatacube)

Project description

Documentation Status Test Status Test Coverage Conda Version

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-0.4.2rc1.tar.gz (173.0 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-0.4.2rc1-py3-none-any.whl (141.6 kB view details)

Uploaded Python 3

File details

Details for the file odc-geo-0.4.2rc1.tar.gz.

File metadata

  • Download URL: odc-geo-0.4.2rc1.tar.gz
  • Upload date:
  • Size: 173.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.18

File hashes

Hashes for odc-geo-0.4.2rc1.tar.gz
Algorithm Hash digest
SHA256 152537719128f37ff83a7e15f3740911359a068c58406c38eebeccd34b558257
MD5 09d7b4269f90529327d42f8219edb02b
BLAKE2b-256 36b31804474884620b86124c65232f98c87b3398a8c8427be9d2decc2cedbb1b

See more details on using hashes here.

File details

Details for the file odc_geo-0.4.2rc1-py3-none-any.whl.

File metadata

  • Download URL: odc_geo-0.4.2rc1-py3-none-any.whl
  • Upload date:
  • Size: 141.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.18

File hashes

Hashes for odc_geo-0.4.2rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 26ae09a578d23a2c58250dacb88c3e061059cb0ed57321d80d773795acd9067d
MD5 27efe90a4f7a98da8c01ce9fca7f488f
BLAKE2b-256 11f58772a0c376cb36a9dd9f595ebfa1f96050c3edf5ab3b9a8d5a3f218de20b

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