• No current package has all the tools for our workflow
• Cleaner way in one package
• SDMWorkflows

• Extract all taxons from arter.dk
• Resolve Synonyms and other probelems within SDMWorkflows
• Function Clean_Taxa, already tested
• Being tested by ecogenetics
• Started with 60,958 taxa, ended with 40,328 species

• Based on Chelsa Downscaling to 10 mts
• Repo with code ready
• Need help with Python code (Zsofia, Ollie, Donjeta)
• Quick and dirty alternative

• At least 4 scenarios
• Monthly max, min temp and prec
• 2000 to 2100
• Generate bioclimatic variables but try to get drought indices
• 4 Scenarios x 100 years x 12 months x 3 variables

14,400 rasters

• SDM Downscaling
• Hierarchical Downscaling
• downscale package

• Centroid detection
• Spatial outlayers
• Temporal outlayers

• Priorly working with the spThin package
• It has now clear way of establishing thinning distance
• Very slow for species with large numbers
• Maximizes number of presences in rare species
• Minimizing morans I for threshold
• Faster algorithm for more common species
• Limit maximum presences (1000?)

• Only one with presence only (no pseudoabsences)
• Just try several settings and solve throuhg AICc or TSS
• Store models

• 40,328 x 4 scenarios x 4 timesteps

645,248 rasters

• For know Cloud Optimized Geotiffs