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DOM scaling law development
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Knowledge graph centered on DOM scaling law development with 32 nodes and 111 connections. Top connected: evapotranspiration, air temperature, precipitation, biogeochemical reactions, nitrogen retention.
Description
Development of power-law scaling relationships between environmental variables and DOM chemodiversity using ordinary least squares regression on log-transformed data.
Typical Equipment
- Python statsmodels library
- SciPy's ordinary least squares function
- Scikit-learn StandardScaler
Output Measurements
- scaling exponents
- scaling coefficients
- R-squared values