Model predictions, evaluation scores and spatial conservation plans for the terrestrial, marine and freshwater realm

Fuente: PANGAEA
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Autori principali: Domisch, Sami, Friedrichs, Martin, Hein, Thomas, Borgwardt, Florian, Wetzig, Annett, Jähnig, Sonja C, Langhans, Simone D
Natura: Dataset Open Access
Lingua:en
Pubblicazione: PANGAEA 2018
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author Domisch, Sami
Friedrichs, Martin
Hein, Thomas
Borgwardt, Florian
Wetzig, Annett
Jähnig, Sonja C
Langhans, Simone D
author_facet Domisch, Sami
Friedrichs, Martin
Hein, Thomas
Borgwardt, Florian
Wetzig, Annett
Jähnig, Sonja C
Langhans, Simone D
collection Datos científicos de ciencias marinas y ambientales
contents Each .zip file contains: - the model predictions for spatial and non-spatial SDMs (non-spatial=zib, spatial=zib_icar) for each realm in a .RData object. This is a shapefile where each column in the attribute table holds the semi-binary model predictions (zero below TSS threshold, original probabalistic value above the threshold). - model evaluation scores for each species (see species_sequence.txt) - the spatial conservation plan for each %-target (10-90%), using spatial and non-spatial SDMs. Each run (e.g., 10%) comes in a .Rdata object and holds a data.frame that can be linked to the shapefile (see above) using the ID-column All data comes in the WGS84 projection and can be open with the freeware "R". The Gurobi-files can be directly merged to the spatial shapefiles which are stored in the RData object.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_889033
institution PANGAEA
language en
publishDate 2018
publisher PANGAEA
record_format pangaea
spellingShingle Model predictions, evaluation scores and spatial conservation plans for the terrestrial, marine and freshwater realm
Domisch, Sami
Friedrichs, Martin
Hein, Thomas
Borgwardt, Florian
Wetzig, Annett
Jähnig, Sonja C
Langhans, Simone D
File format; File name; File size; LATITUDE; LONGITUDE; Uniform resource locator/link to file
Each .zip file contains: - the model predictions for spatial and non-spatial SDMs (non-spatial=zib, spatial=zib_icar) for each realm in a .RData object. This is a shapefile where each column in the attribute table holds the semi-binary model predictions (zero below TSS threshold, original probabalistic value above the threshold). - model evaluation scores for each species (see species_sequence.txt) - the spatial conservation plan for each %-target (10-90%), using spatial and non-spatial SDMs. Each run (e.g., 10%) comes in a .Rdata object and holds a data.frame that can be linked to the shapefile (see above) using the ID-column All data comes in the WGS84 projection and can be open with the freeware "R". The Gurobi-files can be directly merged to the spatial shapefiles which are stored in the RData object.
title Model predictions, evaluation scores and spatial conservation plans for the terrestrial, marine and freshwater realm
topic File format; File name; File size; LATITUDE; LONGITUDE; Uniform resource locator/link to file
url https://doi.org/10.1594/PANGAEA.889033