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Learn about species distribution modeling techniques through a conference talk that demonstrates a typical workflow using SpeciesDistributionModels.jl, a Julia-based platform designed to match the user-friendliness of R packages while leveraging Julia's superior performance capabilities. Explore how this package integrates with the MLJ ecosystem, Rasters.jl, and Makie.jl to enable efficient geospatial predictions and visualization of model evaluation. Discover how Julia's speed advantages create new opportunities for exploring and visualizing Species Distribution Models (SDMs), including the use of Shapley values for better understanding predictor variable contributions and interactive plotting features. Understand the practical applications and benefits of implementing SDMs in Julia compared to traditional R-based approaches like sdm and biomod2.
