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 Trees:

    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 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 6.0

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221 to 223 of 223 Results
variablesatlocations_0p000.csv
Jun 8, 2020 - MaxentVariableselection Inputs/Outputs
Comma Separated Values - 881.6 KB - MD5: a1cea38a6b97137b42b31bfd7d54053b
This is an input table of input locations and values associated with each environmental variable that associated with all digitized downed trees.
variablesatlocations_0p150.csv
Jun 8, 2020 - MaxentVariableselection Inputs/Outputs
Comma Separated Values - 416.9 KB - MD5: ea580b44088711a2c7b904800b1e6a3c
This is an input table of input locations and values associated with each environmental variable that associated with downed trees that have discernible structure.
variablesNOTatlocations.csv
Jun 8, 2020 - MaxentVariableselection Inputs/Outputs
Comma Separated Values - 20.2 MB - MD5: 1f8fa10c9f0c7deb882f749c1d969c04
This is an input table that has locations and associated values of each environmental variable at randomly placed locations throughout the model evluation domain, but are screened to not contain any downed tree locaitons.
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