Skip to main content

A spherical geometry library.

Project description

sphgeom: spherical geometry primitives

Overview

This low-level C++ library provides primitives for representing points and regions on the unit sphere, as well as support for partitioning the sphere. It can be used to answer the following sorts of questions:

  • Is point X inside region Y?
  • Do two regions A and B intersect?
  • Which pieces of the sphere does region C overlap?

Regions can be serialized to binary strings, so that they may be stored efficiently in files or VARBINARY database columns. They can also be approximated with simpler regions - for example, one can ask for the bounding circle of a convex polygon.

Python bindings that expose most of the C++ API are also provided via pybind11.

Points

There are 3 different classes for points

  • LonLat for spherical coordinates,
  • Vector3d for Cartesian vectors in ℝ³ (not constrained to lie on the unit sphere)
  • UnitVector3d for vectors in ℝ³ with unit ℓ² norm.

Regions

Four basic spherical Region types are provided:

  • Box, a longitude/latitude angle box
  • Circle, a small circle defined by a center and opening angle/chord length
  • Ellipse, the intersection of an elliptical cone with the unit sphere
  • ConvexPolygon, a convex spherical polygon with unit vector vertices and great circle edges

In addition to the spherical regions, there is a type for 3-D axis aligned boxes, Box3d. All spherical regions know how to compute their 3-D bounding boxes, which makes it possible to insert them into a 3-D R-tree. This is used by the exposure indexing task in the daf_ingest package to spatially index exposure bounding polygons using the SQLite 3 R*tree module.

A region can also determine its spatial relationship to another region, and test whether or not it contains a given unit vector.

Pixelizations

This library also provides support for assigning points to pixels (a.k.a. cells or partitions) in a Pixelization (a.k.a. partitioning) of the sphere, and for determining which pixels intersect a region.

Currently, the Chunker class implements the partitioning scheme employed by Qserv. The HtmPixelization class implements the HTM (Hierarchical Triangular Mesh) pixelization. The Q3cPixelization and Mq3cPixelization classes implement the original Quad Tree Cube indexing scheme and a modified version with reduced pixel area variation.

Installing with pip

A simple pip-compatible installer is available. This only installs the Python bindings and the resulting installation is not usable for linking from C++. Some metadata (in particular the version number) are not set properly for the distribution. The main purpose for now is to allow other packages to pip install from the GitHub URL in their CI systems where sphgeom is a dependency.

See Also

Contributing

For instructions on how to contribute, see http://dm.lsst.org/#contributing (or just send us a pull request).

Support

For help, see http://dm.lsst.org/#support.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

lsst-sphgeom-25.0.0a20223500.tar.gz (129.2 kB view details)

Uploaded Source

Built Distributions

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

lsst_sphgeom-25.0.0a20223500-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (652.5 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

lsst_sphgeom-25.0.0a20223500-cp310-cp310-macosx_11_0_arm64.whl (495.4 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

lsst_sphgeom-25.0.0a20223500-cp310-cp310-macosx_10_9_x86_64.whl (516.5 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

lsst_sphgeom-25.0.0a20223500-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (656.6 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

lsst_sphgeom-25.0.0a20223500-cp39-cp39-macosx_11_0_arm64.whl (495.4 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

lsst_sphgeom-25.0.0a20223500-cp39-cp39-macosx_10_9_x86_64.whl (516.7 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

lsst_sphgeom-25.0.0a20223500-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (652.7 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

lsst_sphgeom-25.0.0a20223500-cp38-cp38-macosx_11_0_arm64.whl (495.3 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

lsst_sphgeom-25.0.0a20223500-cp38-cp38-macosx_10_9_x86_64.whl (516.4 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

File details

Details for the file lsst-sphgeom-25.0.0a20223500.tar.gz.

File metadata

  • Download URL: lsst-sphgeom-25.0.0a20223500.tar.gz
  • Upload date:
  • Size: 129.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for lsst-sphgeom-25.0.0a20223500.tar.gz
Algorithm Hash digest
SHA256 067150005439a1ff32926331abd81bd8ed7305a7c8d913a181a462050deaa301
MD5 014c5079a86e11d47d72a386af794ad8
BLAKE2b-256 f8f5ac920d10803c9c98488a2aba9ae464f90a11129332435a3a407da8017fb2

See more details on using hashes here.

File details

Details for the file lsst_sphgeom-25.0.0a20223500-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for lsst_sphgeom-25.0.0a20223500-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5e04c24e14714d35645aa8a49fec9312cfe857e7ac34622681ec6c8c06129b34
MD5 0488042d6b81406fade3a5342771bc1c
BLAKE2b-256 3f44dfa95037e9838d328258b7bd1974dc11044f2183b4f100ed3f4eaa3a07d4

See more details on using hashes here.

File details

Details for the file lsst_sphgeom-25.0.0a20223500-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for lsst_sphgeom-25.0.0a20223500-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3a1d6329012cd842aa5bba5601aefb21f6bb8f12e0816eca0a389ab2fa8b7748
MD5 7915e6ea056a48704cdbbc05e65a60a2
BLAKE2b-256 e8f8e001d8e4e4ad1b09c850865d78c206d2149ac46cd13d0ed3f3f48b936b18

See more details on using hashes here.

File details

Details for the file lsst_sphgeom-25.0.0a20223500-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for lsst_sphgeom-25.0.0a20223500-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 775332fd8153d1bec829857464a411671bfe986cdaefc8d2777b4e028fdd59ee
MD5 e52d69a342d646a4f11376cbc2a5148c
BLAKE2b-256 d23bc297cd23dbb871808972059d990ffddc65bf55221237ca235252ad2e05aa

See more details on using hashes here.

File details

Details for the file lsst_sphgeom-25.0.0a20223500-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for lsst_sphgeom-25.0.0a20223500-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 06696e41d593a540b327ba46f0191064a7f8325e436dd10198e8de074875f1f4
MD5 b54aab2dd6dacd22f2509edc8a9bcb68
BLAKE2b-256 3b48d559e4d5fc26c259339b739ad68a5927b452a4580551d48c9b75740672c7

See more details on using hashes here.

File details

Details for the file lsst_sphgeom-25.0.0a20223500-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for lsst_sphgeom-25.0.0a20223500-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3da72f19e9511ac035cfdfb32bed00fb8c4f7e5d4aa88fa6264548baf8e78187
MD5 7e11690ef75aff4bccbb7fcdd10e18e6
BLAKE2b-256 c14e7842e2f15d4fa1d3a5a29ea5f586bb9de598e5876687127cfa692a4c4e2a

See more details on using hashes here.

File details

Details for the file lsst_sphgeom-25.0.0a20223500-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for lsst_sphgeom-25.0.0a20223500-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a9039b8f6c4dd6454496864da6463aa9b018584d97a001fe86601998fb81513d
MD5 ae461ae1bb588eb0a7465b0acb404744
BLAKE2b-256 a6db6dfa374193533cef57d213451d0aeec8b7edcce96a3e122171aa65e9f626

See more details on using hashes here.

File details

Details for the file lsst_sphgeom-25.0.0a20223500-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for lsst_sphgeom-25.0.0a20223500-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2fe64f7609f6df6324f5d6f82cb19574e69d26d4e699c86125f6cd94c80eb833
MD5 1f00b8de31cc1d8dc08c3ab26ab4602c
BLAKE2b-256 ca13628c6b213fe0ecde772d1ad27f50f9396cb2a8f354843350e1ed3f35278e

See more details on using hashes here.

File details

Details for the file lsst_sphgeom-25.0.0a20223500-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for lsst_sphgeom-25.0.0a20223500-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 aea5496f2018e6cc2b26742a7dfe4f5cb5f7783085ab245e25a98db27bac362b
MD5 575db59ab7508862658d0af76915c187
BLAKE2b-256 f5e51833f7efc80879204749c62a1f4b6aa5048cfa36fa74b00e42ba2e921c0e

See more details on using hashes here.

File details

Details for the file lsst_sphgeom-25.0.0a20223500-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for lsst_sphgeom-25.0.0a20223500-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a5df077f94254513be2681bcc36e602b39e5b6b3050e5e3ce4855c7171e7339e
MD5 155b4ca5562465c2ad13061356409dfb
BLAKE2b-256 e21147b497ce30cfe7e0a7f217c8f8768cf206d4daa865d5e5cf1b46ab0793d6

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