I used PCA to analyze the model outputs (p-value and R2 of RS vs Tair, RS vs Tsoil simple linear regression models), and a similar process for the Pm of SWC surrogate.
p-value and R2 of Tair and Tsoil always in the same direction and with similar strength.
Models (Tair or Tsoil as a predictor) in the colder region tend to have lower p-values and higher R2 values.
Models from warmer regions have a verity of R2 and p-value.
Tair is a good surrogate of Tsoil in RS modeling.
p-value and R2 of RS vs Pm models always in the opposite direction of RS vs SWC models, but with similar strength.
No environmental factors help explain the component variability.
Done last week
Surrogates project
I used PCA to analyze the model outputs (p-value and R2 of RS vs Tair, RS vs Tsoil simple linear regression models), and a similar process for the Pm of SWC surrogate.
p-value and R2 of Tair and Tsoil always in the same direction and with similar strength.
Models (Tair or Tsoil as a predictor) in the colder region tend to have lower p-values and higher R2 values.
Models from warmer regions have a verity of R2 and p-value.
Tair is a good surrogate of Tsoil in RS modeling.
p-value and R2 of RS vs Pm models always in the opposite direction of RS vs SWC models, but with similar strength.
No environmental factors help explain the component variability.
Pm is not a good surrogate of SWC in RS modeling.
SRDB project
Goal for next week