AlFontal / sdcpy

Scale Dependent Correlation in Python

Home Page:https://pypi.org/project/sdcpy/

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sdcpy

Scale Dependent Correlation (SDC) analysis1, 2, 3 in Python.

Features

Installation

You can install sdcpy via pip from PyPI:

pip install sdcpy

References

  1. Rodó, X. (2001). Reversal of three global atmospheric fields linking changes in SST anomalies in the Pacific, Atlantic and Indian oceans at tropical latitudes and midlatitudes. Climate Dynamics, 18:203-217. DOI: 10.1007/s003820100171.

  2. Rodríguez, M.A. & Rodó, X. (2004). A primer on the study of transitory dynamics in ecological series using the scale-dependent correlation analysis. Oecologia, 138,485-504. DOI: 10.1007/s00442-003-1464-4.

  3. Rodó, X. & M.A. Rodriguez-Arias. (2006). A new method to detect transitory signatures and local time/space variability structures in the climate system: the scale-dependent correlation analysis. Climate Dynamics, 27:441-458. DOI: 10.1007/s00382-005-0106-4.

About

Scale Dependent Correlation in Python

https://pypi.org/project/sdcpy/

License:MIT License


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Language:Python 100.0%