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

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

201 to 206 of 206 Results
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.
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).
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.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.