This dataverse contains data inputs and products from two complimentary analyses: a spatial analysis and a machine learning approach. Both analyses were geared towards understanding relative importance of ecological factors within the Mission River Floodplain. These datasets are broken down as follows:
Digitized Downed/Standing Trees in the Mission River Floodplain
Spatial Analysis
Environmental Variables Used in Spatial Analysis
Counts of Downed Trees for Levels of Environmental Variables: Results of Spatial Analysis
ML Approach:
Environmental Variables Used in Maxent Machine Learning Approach
MaxentVariableselection Inputs/Outputs
Maxent Models (digitized downed trees with structure):
Model output with six variables and regularization multiplier of 1.0
Model output with six variables and regularization multiplier of 2.0
Model output with six variables and regularization multiplier of 3.0
Model output with three variables and regularization multiplier of 1.0
Model output with three variables and regularization multiplier of 3.0
Model output with three variables and regularization multiplier of 7.0
Maxent Models (all digitized downed trees):
Model output with three variables and regularization multiplier of 6.0
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