Supporting data for: Spatial biodiversity rasters, modeling datasets, and occurrence records for California butterflies

This dataset supports the manuscript “Spatial integration of taxonomic and evolutionary diversity refines butterfly conservation in California.” It includes cleaned georeferenced occurrence records for 211 butterfly species across California, derived spatial rasters of expected species richness (SRexp), probability-weighted evolutionary distinctiveness (EDexp), and probability-weighted pendant lineage length (PLexp), and binary top-decile hotspot layers for each metric and their spatial consensus. The repository also contains a spatially subsampled modeling dataset (n = 2,948 grid cells) used in spatial generalized linear mixed models (GLMMs), including raw and standardized environmental predictors and response variables. A predictor correlation matrix derived from this subsampled dataset is provided. Analytical R scripts are included for evolutionary metric calculation, spatial GLMM fitting with Matérn correlation structures, and phylogenetic community structure analyses (Net Relatedness Index and Nearest Taxon Index). Raster outputs are provided in GeoTIFF format (NAD83 California Albers projection, ~1 km resolution). These materials enable independent replication of spatial biodiversity mapping and modeling analyses presented in the associated study.