Scale dependent correlation in Python.
Project description
sdcpy
Scale Dependent Correlation (SDC) analysis [1, 2, 3] in Python.
Free software: MIT license
Documentation: https://sdcpy.readthedocs.io.
Features
TO DO
Installation
To install via pip just run on a terminal:
pip install sdcpy
References
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.
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.
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.
History
0.1.0 (2020-10-09)
First release on PyPI.
Project details
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