sdcpy 0.5.1

Scale Dependent Correlation in Python

sdcpy

Scale Dependent Correlation (SDC) analysis^{1, 2, 3} in Python.

• Free software: MIT license
• Documentation: https://sdcpy.readthedocs.io.

Installation

Install from PyPI:

pip install sdcpy

Or using uv:

uv pip install sdcpy

Development

To set up a local development environment:

# Install uv (if not already installed)
curl -LsSf https://astral.sh/uv/install.sh | sh

# Clone and install
git clone https://github.com/AlFontal/sdcpy.git
cd sdcpy
uv sync --all-groups

# Run tests
uv run pytest

See CONTRIBUTING.md for more details.

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.