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Extraction, preparation, visualisation and analysis of TERN AusPlots ecosystem monitoring data. Direct access to plot-based data on vegetation and soils across Australia, including physical sample barcode numbers. Simple function calls extract the data and merge them into species occurrence matrices for downstream analysis, or calculate things like basal area and fractional cover. TERN AusPlots is a national field plot-based ecosystem surveillance monitoring method and dataset for Australia. The data have been collected across a national network of plots and transects by the Terrestrial Ecosystem Research Network (TERN - <https://www.tern.org.au>), an Australian Government NCRIS-enabled project, and its Ecosystem Surveillance platform (<https://www.tern.org.au/tern-land-observatory/ecosystem-surveillance-and-environmental-monitoring/>).
| Version: | 2.0.5 |
| Depends: | R (≥ 3.1.0), ggplot2, mapdata |
| Imports: | vegan, plyr, R.utils, httr, jsonlite, gtools, jose, betapart, curl, r2r, stringr, progress |
| Suggests: | knitr, rmarkdown, markdown, formatR, sf |
| Published: | 2023-11-17 |
| DOI: | 10.32614/CRAN.package.ausplotsR |
| Author: | Greg Guerin [aut, cre], Tom Saleeba [aut], Samantha Munroe [aut], Bernardo Blanco-Martin [aut], Irene Martín-Forés [aut], Walid Al Naim [aut], Andrew Tokmakoff [aut] |
| Maintainer: | Greg Guerin <ggueri01 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | ausplotsR results |
| Reference manual: | ausplotsR.pdf |
| Vignettes: |
ausplotsR: quickstart guide to basic analysis of TERN AusPlots vegetation data |
| Package source: | ausplotsR_2.0.5.tar.gz |
| Windows binaries: | r-devel: ausplotsR_2.0.5.zip, r-release: ausplotsR_2.0.5.zip, r-oldrel: ausplotsR_2.0.5.zip |
| macOS binaries: | r-release (arm64): ausplotsR_2.0.5.tgz, r-oldrel (arm64): ausplotsR_2.0.5.tgz, r-release (x86_64): ausplotsR_2.0.5.tgz, r-oldrel (x86_64): ausplotsR_2.0.5.tgz |
| Old sources: | ausplotsR archive |
Please use the canonical form https://CRAN.R-project.org/package=ausplotsR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.