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Oct 13, 2020
Monsimet, Jérémy, 2020, "Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods", https://doi.org/10.18710/TYPJXU, DataverseNO, V1, UNF:6:lfF710DKxWNbC60vonSRCQ== [fileUNF]
This dataset includes presences of both fishing spiders in Fennoscandia and the R scripts to prepare and run the species distribution models (SDMs). The different predictions are also available, together with an HTML file with interactive maps of the suitable/reachable habitat pr...
TIFF Image - 25.2 MB - MD5: 97c969556a37331309514b6914677ff1
raster file of barrier to dispersal (see Dispersal.R)
R Syntax - 3.0 KB - MD5: c49e9b6333cfba267b61dd96022114d2
To prepare the climatic and environmental data for SDM.R
R Syntax - 5.3 KB - MD5: 10d91251242f21bf72eb95293de41659
To prepare the landscape connectivity map used by DispCS (prepare the data for/from Circuitscape)
Unknown - 1.6 KB - MD5: cab9b1bb432f7cf705c787eb1c04689f
Script to get the landscape connectivity map, script to run Circuitscape from Julia
R Syntax - 4.2 KB - MD5: b2f946ab8ca825b916fba0afbf0f68ca
To include dispersal (Disp and DispCS models) in predictions from BLU model
TIFF Image - 6.2 MB - MD5: 8733b75c03e518f484c87ad00b856e0a
raster layer to create mask_planPA.tif/mask_fimbPA.tif
Gzip Archive - 2.8 KB - MD5: 302c63832d71722c6fa2f759d9425834
presences/PA dataframes to evaluate models (see PA_preparation.R, SDM.R)
TIFF Image - 2.1 MB - MD5: 6c43100e78f8e8b3f9adfb857db0abbc
projections from Disp model (see SDM.R and Dispersal.R)
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