Package: nert 1.1.0

Max Moldovan

nert: Curated Access to TERN Environmental Raster Data

Provides curated access to gridded environmental data published by Australia's Terrestrial Ecosystem Research Network (TERN; <https://www.tern.org.au/>), spanning national soil attribute, soil classification, soil biodiversity, soil moisture, actual evapotranspiration, vegetation canopy height and phenology products. The package reads Cloud-Optimised GeoTIFF and virtual raster files directly from the TERN data server via GDAL /vsicurl range requests, streaming only the requested spatial and temporal subset for efficient data transfer. The environmental raster data are returned as terra::SpatRaster objects. A convenient helper function is also provided that provides a batch-download capability given specific locations and dates, returning the extracted data values in an analysis-ready data.table. Access to the TERN datasets using this package requires a TERN API key.

Authors:Adam H. Sparks [aut], Wasin Pipattungsakul [aut], Russell Edson [aut], Sam Rogers [aut], Max Moldovan [cre, aut], Michael Sumner [rev], Shandiya Balasubramaniam [rev], Grains Research and Development Corporation [fnd, cph]

nert_1.1.0.tar.gz
nert_1.1.0.zip(r-4.7-any)nert_1.1.0.zip(r-4.6-any)nert_1.1.0.zip(r-4.5-any)
nert_1.1.0.tgz(r-4.6-any)nert_1.1.0.tgz(r-4.5-any)
nert_1.1.0.tar.gz(r-4.7-any)nert_1.1.0.tar.gz(r-4.6-any)
nert_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
nert/json (API)

# Install 'nert' in R:
install.packages('nert', repos = c('https://ropensci-staging.r-universe.dev', 'https://cloud.r-project.org'))

Reviews:rOpenSci Software Review #()

Bug tracker:https://github.com/aagi-aus/nert/issues

Pkgdown/docs site:https://aagi-aus.github.io

Datasets:
  • grain - Synthetic dataset for a grain production experiment in South Australia

On CRAN:

Conda:

ternsoil-dataaustraliaearth-sciencedata-access

6.51 score 4 stars 1 packages 14 scripts 12 exports 45 dependencies

Last updated from:97ec03fe5f. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK267
pkgdown docsOK208
source / vignettesOK261
linux-releaseOK247
macos-releaseOK174
macos-oldrelOK133
windows-develOK189
windows-releaseOK123
windows-oldrelOK191
wasm-releaseOK169

Exports:autoplotcollect_tern_dataget_keyread_aetread_ascread_canopy_heightread_phenologyread_slgaread_smipsread_soil_diversityread_ternshow_datasets

Dependencies:classclassIntclicpp11data.tableDBIdplyre1071farvergenericsggplot2gluegtableisobandKernSmoothlabelinglifecyclelubridatemagrittrpillarpkgconfigproxypurrrR6RColorBrewerRcpprlangs2S7scalessfstringistringrterratibbletidyrtidyselecttidyterratimechangeunitsutf8vctrsviridisLitewithrwk

nert
Acquiring Your TERN API Key | Saving Your API Key Locally (using {keyring}) | Reading TERN Data
Rendered fromnert.Rmdusingknitr::rmarkdown

Last update: 2026-09-29
Started: 2025-02-13

Bandwidth-safe spatial subsetting
COGs are lazy until you touch the values | Look before you pull | Crop to an area of interest first | Extracting at points is already bandwidth-safe | Mind the coordinate reference system | Save the crop, then work offline
Rendered frombandwidth_safe_subsetting.Rmdusingknitr::rmarkdown

Last update: 2026-08-10
Started: 2026-08-10

collect_tern_data() for bulk TERN dataset collection
Basic usage of collect_tern_data() | Efficiently download data points at multiple spatial locations | Graceful handling of failed dataset fetches
Rendered fromcollect_tern_data.Rmdusingknitr::rmarkdown

Last update: 2026-08-07
Started: 2026-04-01

Using nert to augment agricultural analytics with SMIPS data
A synthetic dataset for a grain production experiment | Download SMIPS data for the sites across times | A simple model for grain yield | Augmenting the yield model with soil moisture data | Simplified collection with collect_tern_data()
Rendered fromnert_for_agricultural_analytics.Rmdusingknitr::rmarkdown

Last update: 2026-08-07
Started: 2025-02-13