ausplotsR
type: Item
instance of: R package
software version identifier: 1.2.8
software version identifier: 1.2.9
software version identifier: 1.2.1
software version identifier: 1.2.2
software version identifier: 1.2.3
software version identifier: 1.2.4
software version identifier: 1.2.5
software version identifier: 1.2.6
software version identifier: 1.2.7
software version identifier: 1.2
software version identifier: 2.0.3
software version identifier: 2.0.4
software version identifier: 2.0.5
maintained by: Greg Guerin
CRAN project: ausplotsR
programmed in: R
last update: 2023-11-17T00:00:00Z
description: 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/>).
author: Greg Guerin
author: Tom Saleeba
author: Samantha Munroe
author: Bernardo Blanco-Martin
author: Irene Martín-Forés
author: Walid al Naim
author: Andrew Tokmakoff
copyright license: GNU General Public License, version 3.0
depends on software: ggplot2
depends on software: mapdata
depends on software: R
imports: vegan
imports: plyr
imports: R.utils
imports: httr
imports: jsonlite
imports: gtools
imports: jose
imports: betapart
imports: curl
imports: r2r
imports: stringr
imports: progress
MaRDI profile type: Software
description: TERN AusPlots Australian Ecosystem Monitoring Data