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-0.4.0rc1.tar.gz (149.5 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-0.4.0rc1-py3-none-any.whl (121.7 kB view details)

Uploaded Python 3

File details

Details for the file odc-geo-0.4.0rc1.tar.gz.

File metadata

  • Download URL: odc-geo-0.4.0rc1.tar.gz
  • Upload date:
  • Size: 149.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for odc-geo-0.4.0rc1.tar.gz
Algorithm Hash digest
SHA256 dbf63971c1f80aaa957f2437da73609f3861eb56f475ccaf1c4e52bbde2a5004
MD5 7ee578bec73686ac92e64224e68f1cc5
BLAKE2b-256 3534ac720601c582270bd5404be0b212b7e53c96d15dc21f9e557f3ba7cd6078

See more details on using hashes here.

File details

Details for the file odc_geo-0.4.0rc1-py3-none-any.whl.

File metadata

  • Download URL: odc_geo-0.4.0rc1-py3-none-any.whl
  • Upload date:
  • Size: 121.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for odc_geo-0.4.0rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 8154c1118da6c61dc0464bc3d0e93f7def4babe19327b45d31948d455cc199cf
MD5 e8a3a7cb6ffccb475645854cbe98aea1
BLAKE2b-256 d4a3a70ec6a0dbaa417439d752636cc32faaf0cea7560804f16f20e23ea45232

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