ESM_SIM_DATA_ANN

Description:

ESM_sim_data_3. Estimates of contribution of MCSim parameters to variation in biodiversity metrics based on contribution statistics from artificial neural networks (ANNs) trained and validated on simulated metacommunity outcomes.

File:

ESM_SIM_DATA_ANN_UNPRUNNED.csv

Variables (click to expand):

Diversity Metric ID

Label:
Definition: Diversity Metric ID
Type: Nominal
Missing values: None specified

Predictor Variable

Label:
Definition: Predictor Variable
Type: Nominal
Missing values: None specified

Predictor contribution to variation in response variable

Label:
Definition: Predictor contribution to variation in response variable
Type: Nominal
Missing values: None specified

Contribution p value

Label:
Definition: Contribution p value
Type: Nominal
Missing values: None specified

Predictor relative importance (RI) to variatino in response variable

Label:
Definition: Predictor relative importance (RI) to variatino in response variable
Type: Nominal
Missing values: None specified

RI p value

Label:
Definition: RI p value
Type: Nominal
Missing values: None specified

Keep predictor in pruned model?

Label:
Definition: Keep predictor in pruned model?
Type: Nominal
Missing values: None specified

N permutations used to estimate p values

Label:
Definition: N permutations used to estimate p values
Type: Nominal
Missing values: None specified