https://github.com/cistools/collocate

Collocate xarray trajectories in arbitrary physical dimensions
https://github.com/cistools/collocate

Last synced: 3 months ago
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Collocate xarray trajectories in arbitrary physical dimensions

• Host: GitHub
• URL: https://github.com/cistools/collocate
• Owner: cistools
• License: lgpl-3.0
• Created: 2017-12-03T20:51:40.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-09-06T13:32:36.000Z (about 6 years ago)
• Last Synced: 2024-02-15T12:35:08.527Z (9 months ago)
• Language: Python
• Homepage:
• Size: 63.5 KB
• Stars: 18
• Watchers: 4
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-open-climate-science - Collocate -  Collocate xarray trajectories in arbitrary physical dimensions (Software / GIS)

README

        
collocate

=========

[![Build Status](https://travis-ci.org/cistools/collocate.svg?branch=master)](https://travis-ci.org/cistools/collocate)

collocate un-structured xarray DataArray's (or Iris Cube's) in arbitrary physical dimensions.

For example, taking a dataset with mutli-dimensional latitude and longitude coordinates

    >>> da

     

    array([[ 0,  1,  2],

           [ 3,  4,  5],

           [ 6,  7,  8],

           [ 9, 10, 11],

           [12, 13, 14]])

    Coordinates:

        longitude  (x, y) float64 -10.0 -10.0 -10.0 -5.0 -5.0 -5.0 0.0 0.0 0.0 ...

        latitude   (x, y) float64 -5.0 0.0 5.0 -5.0 0.0 5.0 -5.0 0.0 5.0 -5.0 ...

    Dimensions without coordinates: x, y

And a set of arbitrary points

    >> points

    

    array([ 0.,  0.,  0.])

    Coordinates:

        latitude   (obs) float64 0.5 5.4 12.0

        longitude  (obs) float64 -0.7 0.2 3.0

    Dimensions without coordinates: obs

We can perform a collocation to find the mean value of the data with 500km of each sample point like so

    >>> collocate(points, da, h_sep=500)

     

    

    Dimensions:    (obs: 3)

    Coordinates:

      * obs        (obs) int64 0 1 2

    Data variables:

        latitude   (obs) float64 0.5 5.4 12.0

        longitude  (obs) float64 -0.7 0.2 3.0

        var        (obs) float64 5.5 8.0 nan

    

**Note** this is still a prototype and the API is likely to change!

Contact

-------

[email protected]