Published on McMurdo Dry Valleys LTER (http://mcm.lternet.edu)

ESM_SIM_DATA_ANN_UNPRUNNED [1]

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: 

File ESM_SIM_DATA_ANN_UNPRUNNED.csv [2]

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
Source URL: http://mcm.lternet.edu/content/esmsimdataannunprunned

Links
[1] http://mcm.lternet.edu/content/esmsimdataannunprunned
[2] http://mcm.lternet.edu/sites/default/files/data/ESM_SIM_DATA_ANN_UNPRUNNED.csv