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.