Setup | Example data | Smoothing methods | Chaikin's corner cutting algorithm | Kernel smoothing | Spline interpolation | Other goodies | Densification | Drop crumbs | Fill holes | Raster-to-polygon conversion | References

Background | Data access | Managing downloaded data | Species list | Data types | Weekly raster estimates | Seasonal raster estimates | Range boundaries | Regional summary statistics | Predictive performance metrics (PPMs) | Data coverage | References

Quick start | Background | The eBird Basic Dataset | auk vs. rebird | Data access | Example data | AWK | A note on versions | Presence data | The auk_ebd object | Defining filters | Executing filters | Reading | Saving the AWK command | Group checklists | Taxonomic rollup | Zero-filled, presence-absence data | Filtering | Reading and zero-filling | Acknowledgements | References

Updating the eBird taxonomy | Adding new filters | 1. Update auk_ebd() | 2. Create filter function | 3. Update auk_filter() | 4. Unit tests | 5. Update vignette and README | 6. Build, test, check, and push to GitHub | CRAN submission

2023 Changelog | Trends | Status | Data Inputs | eBird Checklists | Effort Covariates | Environmental Covariates | Workflow and Code Changes | Base Model | Prediction | Ensemble | Predictive Performance Metrics (PPMs) | Web Products | Data Products | 2022 Changelog | Covariates | 2021 Changelog | General | Spatiotemporal Partitioning | Model Ensemble | Fit and Predict | Residents | 2020 Changelog | Resident Methodology | Expert Review | 2019 Changelog | Seasonal Products

Downloading data | Loading data into R | Conversion to spatial formats | Vector (points) | Vector (abundance-scaled circles) | Raster | Uncertainty | Regional trends | Multi-species trends

Mapping relative abundance | Cropping and masking | Projection | Abundance bins | Basemap | Migration chronologies | Single species with uncertainty | Multi-species | Regional proportion of population | Proportion of seasonal population | Proportion of North American population | Regional stats for weeks and custom time periods | Coastal species | Areas of importance | Richness | Importance | Assessing model performance

API Endpoints | List | Download

Usage | Examples | 1. Map a species distribution across the annual cycle | 2. Map individual behavior over time | 3. Map distributions of multiple individuals during the same time period

1. Adding context | rnaturalearth package | tigris package | General comments | 2. Modifying legends | legend_timecyle() | legend_timeline() | legend_set() | 3. Displaying colorist maps in other software | raster package | QGIS

1. Change how layers are represented by hues | Map monthly distributions of a species in the southern hemisphere | Map space use by individual animals using relevant hues | 2. Change the relationship between intensity and opacity | describe modulus function | create data for plotting | plot data describing effects of adjustments to lambda | Emphasize specific locations that are essential to an individual animal | 3. Change the relationship between specificity and chroma | get colors from palette and edit | plot data describing effects of adjustments to lambda_s | Emphasize timing of peak occurrence for a seasonal migrant