Package index • TemporalModelR

All functions

analyze_temporal_patterns(): Analyze Temporal Patterns in Binary Raster Time Series
analyze_trends_by_spatial_unit(): Summarize Temporal Patterns and Trends by Spatial Unit
build_temporal_gam(): Build Temporal GAM Models Across Cross-Validation Folds
build_temporal_glm(): Build Temporal GLM Models Across Cross-Validation Folds
build_temporal_hv(): Build Temporal Hypervolume Models Across Cross-Validation Folds
build_temporal_rf(): Build Temporal Random Forest Models Across Cross-Validation Folds
extdata: Bundled rasters, point files, and prediction outputs
generate_absences(): Generate Temporally Explicit Pseudoabsence Points
generate_spatiotemporal_predictions(): Generate Spatiotemporal Predictions from Temporal Models
plot_model_assessment(): Visualize Model Assessment Metrics Across Time
raster_align(): Align and Standardize Raster Files to a Reference Raster
scale_rasters(): Scale Environmental Rasters Using Species Occurrence Data
spatiotemporal_partition(): Spatiotemporal Cross-Validation Partitioning
spatiotemporal_rarefaction(): Spatiotemporal Rarefaction of Species Occurrence Data
summarize_raster_outputs(): Summarize Prediction Rasters into Consensus Outputs
temporally_explicit_extraction(): Extract Time-Aligned Environmental Values at Species Occurrences
tmr_absences: Pre-built pseudoabsence result (seasonal workflow)
tmr_absences_annual: Pre-built pseudoabsence result (annual workflow)
tmr_absences_user: Pre-built user_data pseudoabsences (seasonal workflow)
tmr_glm: Pre-built GLM result (seasonal workflow)
tmr_glm_annual: Pre-built GLM result (annual workflow)
tmr_partition: Pre-built spatiotemporal partition (seasonal workflow)
tmr_partition_annual: Pre-built spatiotemporal partition (annual workflow)
tmr_partition_small: Pre-built spatiotemporal partition, small version (seasonal workflow)
tmr_predictions: Pre-built spatiotemporal predictions (seasonal workflow)
tmr_predictions_annual: Pre-built spatiotemporal predictions (annual workflow)