Metadata-Version: 2.4
Name: python-geotiepoints
Version: 1.8.0
Summary: Interpolation of geographic tiepoints in Python
Home-page: https://github.com/pytroll/python-geotiepoints
Author: Adam Dybbroe, Martin Raspaud
Author-email: martin.raspaud@smhi.se
License: GPL-3.0-or-later
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Cython
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: Free Threading :: 1 - Unstable
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Provides-Extra: tests
Requires-Dist: pytest; extra == "tests"
Requires-Dist: pytest-cov; extra == "tests"
Requires-Dist: h5py; extra == "tests"
Requires-Dist: xarray; extra == "tests"
Requires-Dist: dask[array]; extra == "tests"
Requires-Dist: pyproj; extra == "tests"
Requires-Dist: pyresample; extra == "tests"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: provides-extra
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

python-geotiepoints
===================

[![Build Status](https://github.com/pytroll/python-geotiepoints/workflows/CI/badge.svg?branch=main)](https://github.com/pytroll/python-geotiepoints/actions?query=workflow%3A%22CI%22)
[![Coverage Status](https://coveralls.io/repos/github/pytroll/python-geotiepoints/badge.svg?branch=main)](https://coveralls.io/github/pytroll/python-geotiepoints?branch=main)


Python-geotiepoints is a python module that interpolates (and extrapolates if
needed) geographical tiepoints into a larger geographical grid. This is usefull
when the full resolution lon/lat grid is needed while only a lower resolution
grid of tiepoints was provided.

Some helper functions are provided to accomodate for satellite data, but the
package should be generic enough to be used for any kind of data.

In addition we have added a fast multilinear interpolation of regular gridded
data using Cython.

Adam & Martin
May 2017, Norrköping, Sweden
