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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211 to 220 of 223 Results
ESP_0p150_soilvege.zip
Jun 8, 2020 - Counts of Downed Trees for Levels of Environmental Variables: Results of Spatial Analysis
Shapefile as ZIP Archive - 1.3 MB - MD5: 366edbe31187f59a24ea51e705d779eb
Polygon shapefile that contains counts of downed trees within each stratified level (range) that is a result of the combination of soil classification and vegetation community within the model evaluation domain.
ESP_0p150_soil.zip
Jun 8, 2020 - Counts of Downed Trees for Levels of Environmental Variables: Results of Spatial Analysis
Shapefile as ZIP Archive - 487.2 KB - MD5: 8a5b0ade0a5971ee7d8fe884fec060ce
Polygon shapefile that contains counts of downed trees within each soil classification inside the model evaluation domain.
ESP_0p150_vegeEDFR.zip
Jun 8, 2020 - Counts of Downed Trees for Levels of Environmental Variables: Results of Spatial Analysis
Shapefile as ZIP Archive - 2.2 MB - MD5: 1ab15d7ff3c6407f15b74d6f730667e0
Polygon shapefile that contains counts of downed trees within each stratified level (range) that is a result of the combination of vegetation community and euclidean distance from river within the model evaluation domain.
ESP_0p150_vegeinund.zip
Jun 8, 2020 - Counts of Downed Trees for Levels of Environmental Variables: Results of Spatial Analysis
Shapefile as ZIP Archive - 5.0 MB - MD5: 5b70a917ccf4e8e470a10ddeece6e08a
Polygon shapefile that contains counts of downed trees within each stratified level (range) that is a result of the combination of vegetation community and inundation probability within the model evaluation domain.
ESP_0p150_vegeslope.zip
Jun 8, 2020 - Counts of Downed Trees for Levels of Environmental Variables: Results of Spatial Analysis
Shapefile as ZIP Archive - 3.3 MB - MD5: a43c944c207554967bfa877cb5b85bca
Polygon shapefile that contains counts of downed trees within each stratified level (range) that is a result of the combination of vegetation community and generalized slope (10m) within the model evaluation domain.
ESP_0p150_vegetation.zip
Jun 8, 2020 - Counts of Downed Trees for Levels of Environmental Variables: Results of Spatial Analysis
Shapefile as ZIP Archive - 1.2 MB - MD5: 2d178067bfa5550382f22bbe566a0dbb
Polygon shapefile that contains counts of downed trees within each vegetation community inside the model evaluation domain.
ESP_0p150_vegetelev.zip
Jun 8, 2020 - Counts of Downed Trees for Levels of Environmental Variables: Results of Spatial Analysis
Shapefile as ZIP Archive - 12.9 MB - MD5: f33488048b926c1c7448049c027aa248
Polygon shapefile that contains counts of downed trees within each stratified level (range) that is a result of the combination of vegetation community and elevation values within the model evaluation domain.
MaxentVariableselection Inputs/Outputs
Jun 8, 2020
FLUD Research Group, 2020, "MaxentVariableselection Inputs/Outputs", https://doi.org/10.18738/T8/ACTHJO, Texas Data Repository, V1
The following files are inputs and outputs to the MaxentVariableSelection procedure (Jueterbock et.al. 2016) that is used to judge which combinations of environmental variables and regularization multiplier (beta parameter) are most effective. MaxentVariableSelection was conducte...
ModelPerformance_0p000.txt
Jun 8, 2020 - MaxentVariableselection Inputs/Outputs
Plain Text - 2.5 KB - MD5: db2844d6fc04e951a18ce26bb05eb002
Originally ModelPerformance.txt. This file is an output table that outputs all of the performance metrics of MaxentVariableSelection that is associated with all digitized downed trees. Performance metrics are discussed in Jueterbock (2016).
ModelPerformance_0p150.txt
Jun 8, 2020 - MaxentVariableselection Inputs/Outputs
Plain Text - 1.3 KB - MD5: 7a3ccd44f64300b730546c9fb49a8f2e
Originally ModelPerformance.txt. This file is an output table that outputs all of the performance metrics of MaxentVariableSelection that is associated with downed trees that have discernible structure. Performance metrics are discussed in Jueterbock (2016).
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