Bounded Outcome Risk Guard for Model Evaluation // Comprehensive toolkit for valid spatial, temporal, and grouped model evaluation. Automatically detects data dependencies (spatial autocorrelation, temporal structure, clustered observations), generates appropriate cross-validation schemes (spatial blocking, checkerboard, hexagonal, KNNDM, environmental blocking, leave-location-out, purged CV), and validates evaluation pipelines for leakage. Includes area of applicability (AOA) assessment following Meyer Pebesma (2021) doi:10.1111/2041-210X.13650, forward feature selection with blocked CV, spatial thinning, block-permutation variable importance, extrapolation detection, and interactive visualizations. Integrates with 'tidymodels', 'caret', 'mlr3', 'ENMeval', and 'biomod2'. Based on evaluation principles described in Roberts et al. (2017) doi:10.1111/ecog.02881, Kaufman et al. (2012) doi:10.1145/2382577.2382579, Kapoor Narayanan (2023) doi:10.1016/j.patter.2023.100804, and Linnenbrink et al. (2024) doi:10.5194/gmd-17-5897-2024.