Skip to main content

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.

Release files for odc-geo 0.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for odc-geo 0.3.0
File Size Uploaded
odc-geo-0.3.0.tar.gz 105.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for odc-geo 0.3.0
File Interpreter ABI Platform
odc_geo-0.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 219.6 kB

Release files / odc-geo-0.3.0.tar.gz

Download URL odc-geo-0.3.0.tar.gz
Size 105.5 kB
Tags Source
SHA-256 checksum
How to use checksums
0ea6d605feda1933e8868cf29c540dd2a35edea440baf8fe4b24396ca141e181
BLAKE2b-256 checksum
How to use checksums
dcf822c9f90dc4d92918f4a0a7155a7173452189b44a80cbc225c643a4348922
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.8.13

Release files / odc_geo-0.3.0-py3-none-any.whl

Download URL odc_geo-0.3.0-py3-none-any.whl
Size 114.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b4aed7c848a0a6fd1cf946e863d214178681c3a257c8afbe1bf3f3614c22a607
BLAKE2b-256 checksum
How to use checksums
09581ee07c99c42c3cb36503bcc794ec7177cc1a1012e24de74c43ceea39d9ad
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.8.13

Release history Release notifications | RSS feed

0.5.3

2 release files

0.5.2

2 release files

0.5.1

2 release files

0.5.0

2 release files

0.4.9

2 release files

0.4.8

2 release files

0.4.7

2 release files

0.4.6

2 release files

0.4.5

2 release files

0.4.4

2 release files

0.4.3

2 release files

0.4.2

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.3.1

2 release files

This release

0.3.0 This release

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page