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Publication Year: 2020 File Type: Archive

1 to 10 of 700 Results

Vegetation_Community_Class.zip Jun 8, 2020 - Environmental Variables Used in Maxent Machine Learning Approach ZIP Archive - 1.6 MB - MD5: 1e6f76fdf7012966cc702c301b3e04eb Raster map representing vegetation community is derived from polygon geometries that represent patches from the Ecological Modeling Systems of Texas (Elliott et.al. 2014). Each patch is assigned a vegetation community classification is based on the CommonName fields within this d...
Variable_Responses.zip Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 6.0 ZIP Archive - 32.9 KB - MD5: 85ef68afa42ce5b67ee5bd7104f1aae0 Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).
Variable_Responses.zip Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 3.0 ZIP Archive - 33.4 KB - MD5: f0dc6ec41deb69eb3c5afb565455457e Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).
Variable_Responses.zip Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 1.0 ZIP Archive - 35.0 KB - MD5: f6e6d01c1fba066a283e10af43b82e48 Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).
Variable_Responses.zip Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with six variables and regularization multiplier of 3.0 ZIP Archive - 127.0 KB - MD5: e0d5e0cb16df0d2ce543939108c0e12d Tables (*.dat) consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).
Variable_Responses.zip Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with six variables and regularization multiplier of 2.0 ZIP Archive - 130.4 KB - MD5: 311dd3637ea43db139cd541392675ec6 Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).
Variable_Responses.zip Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with six variables and regularization multiplier of 1.0 ZIP Archive - 98.1 KB - MD5: ef9fe58e5a26113a12b3725e432f40e9 Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).
Variable_Responses.zip Jun 9, 2020 - Maximum Entropy machine learning model output using digitized downed trees (structure) with three variables and regularization multiplier of 1.0 ZIP Archive - 33.6 KB - MD5: 0116b77c876a164df6ea476e9a9ecf29 Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).
Variable_Responses.zip Jun 9, 2020 - Maximum Entropy machine learning model output using digitized downed trees (structure) with three variables and regularization multiplier of 3.0 ZIP Archive - 33.3 KB - MD5: 02fb89e1d4b54e927c73ff84ce623742 Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).
Variable_Responses.zip Jun 9, 2020 - Maximum Entropy machine learning model output using digitized downed trees (structure) with three variables and regularization multiplier of 7.0 ZIP Archive - 32.7 KB - MD5: e1f5ce9e22ed36415bb0952c7752cada Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).

Vegetation_Community_Class.zip

Jun 8, 2020 - Environmental Variables Used in Maxent Machine Learning Approach

ZIP Archive - 1.6 MB - MD5: 1e6f76fdf7012966cc702c301b3e04eb

Raster map representing vegetation community is derived from polygon geometries that represent patches from the Ecological Modeling Systems of Texas (Elliott et.al. 2014). Each patch is assigned a vegetation community classification is based on the CommonName fields within this d...

Variable_Responses.zip

Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 6.0

ZIP Archive - 32.9 KB - MD5: 85ef68afa42ce5b67ee5bd7104f1aae0

Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).

Variable_Responses.zip

Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 3.0

ZIP Archive - 33.4 KB - MD5: f0dc6ec41deb69eb3c5afb565455457e

Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).

Variable_Responses.zip

Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with three variables and regularization multiplier of 1.0

ZIP Archive - 35.0 KB - MD5: f6e6d01c1fba066a283e10af43b82e48

Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).

Variable_Responses.zip

Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with six variables and regularization multiplier of 3.0

ZIP Archive - 127.0 KB - MD5: e0d5e0cb16df0d2ce543939108c0e12d

Tables (*.dat) consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).

Variable_Responses.zip

Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with six variables and regularization multiplier of 2.0

ZIP Archive - 130.4 KB - MD5: 311dd3637ea43db139cd541392675ec6

Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).

Variable_Responses.zip

Jun 9, 2020 - Maximum Entropy machine learning model output using all digitized downed trees with six variables and regularization multiplier of 1.0

ZIP Archive - 98.1 KB - MD5: ef9fe58e5a26113a12b3725e432f40e9

Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).

Variable_Responses.zip

Jun 9, 2020 - Maximum Entropy machine learning model output using digitized downed trees (structure) with three variables and regularization multiplier of 1.0

ZIP Archive - 33.6 KB - MD5: 0116b77c876a164df6ea476e9a9ecf29

Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).

Variable_Responses.zip

Jun 9, 2020 - Maximum Entropy machine learning model output using digitized downed trees (structure) with three variables and regularization multiplier of 3.0

ZIP Archive - 33.3 KB - MD5: 02fb89e1d4b54e927c73ff84ce623742

Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).

Variable_Responses.zip

Jun 9, 2020 - Maximum Entropy machine learning model output using digitized downed trees (structure) with three variables and regularization multiplier of 7.0

ZIP Archive - 32.7 KB - MD5: e1f5ce9e22ed36415bb0952c7752cada

Tables consisting of mean responses of ten replicate model runs based on subsamples of data, associated with each environmental variable and a model formed with only that specific variable (only).

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