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

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 probabalis...

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Bibliographic Details
Main Authors: Domisch, Sami, Friedrichs, Martin, Hein, Thomas, Borgwardt, Florian, Wetzig, Annett, Jähnig, Sonja C, Langhans, Simone D
Format: Dataset
Language:English
Published: PANGAEA 2018
Subjects:
LONGITUDE
LATITUDE
File name
File format
File size
Uniform resource locator/link to file
sami
Online Access:https://dx.doi.org/10.1594/pangaea.889033
https://doi.pangaea.de/10.1594/PANGAEA.889033
Description
Summary: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. ... : Supplement to: Domisch, Sami; Friedrichs, Martin; Hein, Thomas; Borgwardt, Florian; Wetzig, Annett; Jähnig, Sonja C; Langhans, Simone D (2019): Spatially explicit species distribution models: A missed opportunity in conservation planning? Diversity and Distributions, 25(5), 758-769 ...

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