[aut, cre],
Daniel Fink [aut],
Matthew Strimas-Mackey [aut],
Cornell Lab of Ornithology [cph]Tools to download, map, plot and analyze eBird Status and Trends data (<https://ebird.org/science/status-and-trends>). eBird (<https://ebird.org>) is a global database of bird observations collected by citizen scientists. eBird Status and Trends uses these data to analyse continental bird abundances, range boundaries, habitats, and trends.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | car, data.table, dplyr (≥ 0.7.0), fasterize, gbm (≥ 2.1.5), ggplot2, grDevices, gridExtra, methods, mgcv, PresenceAbsence, rappdirs, raster, scales, sf, stats, stringr, tidyr, tools, utils, viridisLite, xml2, rgdal |
| Suggests: | covr, fields, knitr, rmarkdown, rnaturalearth, smoothr, testthat, velox |
| Published: | 2019-04-04 |
| Author: | Tom Auer [aut, cre],
Daniel Fink [aut],
Matthew Strimas-Mackey [aut],
Cornell Lab of Ornithology [cph] |
| Maintainer: | Tom Auer <mta45 at cornell.edu> |
| BugReports: | https://github.com/CornellLabofOrnithology/ebirdst/issues |
| License: | GPL-3 |
| URL: | https://github.com/CornellLabofOrnithology/ebirdst |
| NeedsCompilation: | no |
| Citation: | ebirdst citation info |
| Materials: | NEWS |
| CRAN checks: | ebirdst results |
| Reference manual: | ebirdst.pdf |
| Vignettes: |
Generating Seasonal Abundance and Range Maps and Stats Introduction to loading, mapping, and plotting Background, Data Access, and Data Structure Non-raster Data: Using Predictor Importance, Predictor Directionality, and Predictive Performance Metrics |
| Package source: | ebirdst_0.1.0.tar.gz |
| Windows binaries: | r-devel: ebirdst_0.1.0.zip, r-release: ebirdst_0.1.0.zip, r-oldrel: ebirdst_0.1.0.zip |
| OS X binaries: | r-release: ebirdst_0.1.0.tgz, r-oldrel: ebirdst_0.1.0.tgz |
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