Domisch, Sami; Friedrichs, Martin; Hein, Thomas; Borgwardt, Florian; Wetzig, Annett; Jähnig, Sonja C; Langhans, Simone D (2018): Model predictions, evaluation scores and spatial conservation plans for the terrestrial, marine and freshwater realm [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.889033, Supplement to: Domisch, S et al. (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
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
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.
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | LONGITUDE | Longitude | Domisch, Sami | Geocode – min | ||
2 | LATITUDE | Latitude | Domisch, Sami | Geocode – min | ||
3 | LONGITUDE | Longitude | Domisch, Sami | Geocode – max | ||
4 | LATITUDE | Latitude | Domisch, Sami | Geocode – max | ||
5 | File name | File name | Domisch, Sami | |||
6 | File format | File format | Domisch, Sami | |||
7 | File size | File size | kByte | Domisch, Sami | ||
8 | Uniform resource locator/link to file | URL file | Domisch, Sami |
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
12 data points