Unknown
PANGAEA
In:
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, https://doi.org/10.1111/ddi.12891
Publication Date:
2023-01-13
Description:
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.
Keywords:
File format; File name; File size; LATITUDE; LONGITUDE; Uniform resource locator/link to file
Type:
Dataset
Format:
text/tab-separated-values, 12 data points
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