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| abundance_palette | eBird Status and Trends color palettes for abundance data |
| bernoulli_dev | Bernoulli deviance |
| calc_bins | Calculates bins (breaks) based for mapping |
| calc_effective_extent | Calculate and map effective extent of selected centroids |
| calc_full_extent | Calculates spatial extent of non-zero data from Raster* object for plotting |
| compute_ppms | Computes the Predictive Performance Metrics for a spatiotemporal extent |
| date_to_st_week | Get the status and trends week that a date falls into |
| ebirdst | 'ebirdst': Tools to Load, Map, Plot, and Analyze eBird Status and Trends Data Products |
| ebirdst_download | Download eBird Status and Trends Data |
| ebirdst_extent | Construct a spatiotemporal extent object to subset Status and Trends data |
| ebirdst_extent.bbox | Construct a spatiotemporal extent object to subset Status and Trends data |
| ebirdst_extent.numeric | Construct a spatiotemporal extent object to subset Status and Trends data |
| ebirdst_extent.sf | Construct a spatiotemporal extent object to subset Status and Trends data |
| ebirdst_extent.sfc | Construct a spatiotemporal extent object to subset Status and Trends data |
| ebirdst_predictors | eBird Status and Trends predictors |
| ebirdst_runs | Data frame of available eBird Status and Trends species |
| ebirdst_subset | Subset eBird Status and Trends data spatiotemporally |
| ebirdst_subset.data.frame | Subset eBird Status and Trends data spatiotemporally |
| ebirdst_subset.Raster | Subset eBird Status and Trends data spatiotemporally |
| ebirdst_subset.sf | Subset eBird Status and Trends data spatiotemporally |
| get_species_path | Get the data package path for a given species |
| label_raster_stack | Labels 52 week RasterStack with the dates for each band |
| load_fac_map_parameters | Load full annual cycle map parameters |
| load_pis | Load predictor importances for single species eBird Status and Trends products |
| load_raster | Load eBird Status and Trends raster data |
| load_test_preds | Test data predictions loader |
| map_centroids | Map PI centroid locations |
| parse_raster_dates | Parses the names attached to a Raster from label_raster_stack() |
| plot_all_ppms | Plot all predictive performance metrics |
| plot_binary_by_time | Plot binary occurrence metrics by time |
| plot_pis | Plot predictor importances boxplot |
| poisson_dev | Poisson deviance |
| project_extent | Transform a spatiotemporal extent to a different CRS |
| sample_case_control | Spatial grid sampling methods |
| sample_grid | Spatial grid sampling methods |
| stixelize | Generate stixel polygons from PI data |
| stixelize.data.frame | Generate stixel polygons from PI data |
| stixelize.sf | Generate stixel polygons from PI data |