Paket: python3-xcube-resampling (0.3.1-2)

[ Quellcode: xcube-resampling  ]

Low-level, dask-aware spatial resampling algorithms

xcube-resampling provides efficient algorithms for transforming datasets into different spatial grid mappings. It is designed for geospatial workflows that need flexible resampling and reprojection.

Features:

 * Affine resampling – simple resampling using affine transformations
 * Reprojection – convert datasets between different coordinate
   reference systems (CRS)
 * Rectification – transform irregular grids into regular,
   well-structured grids

All methods work seamlessly with chunked (lazily loaded) xarray.Datasets and are powered by Dask for scalable, out-of-core computation.

Andere Pakete mit Bezug zu python3-xcube-resampling

• dep: python3

  interactive high-level object-oriented language (default python3 version)

• dep: python3-affine

  Python 3 Library for handling affine transformations of the plane

• dep: python3-dask

  Minimal task scheduling abstraction for Python 3

• dep: python3-numpy

  Python library for numerical computations (Python 3)

• dep: python3-pyproj

  Python 3 interface to PROJ library

• dep: python3-xarray

  N-D labeled arrays and datasets in Python 3

• dep: python3-zarr

  chunked, compressed, N-dimensional arrays for Python

• rec: python3-numba

  native machine code compiler for Python 3

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