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read.abares 2.0.0 Accepted into rOpenSci as of 2026-01-13! On CRAN as of 2026-01-22! Breaking changes soil_thickness functions are now topsoil_thickness functions, e.g., read_soil_thickness_stars() is now read_topsoil_thickness_stars(). This is to clarify that the data is for topsoil only and not all soil layers, thanks, @obrsoil! get_ functions are now integrated into read_, there is no need to call any get_ functions separately or use piping. Caching is no longer possible between sessions to simplify the package's maintenance and CRAN-proof it. I would encourage users to look into using {targets} or other methods of managing their data in the workflow. New features When fetching AGFD, users can filter data by climate year or climate/price year depending on the data and only work with that year or years. This functionality still requires ALL of the AGFD to be fetched, so this isn't faster, but any of the read_agfd functions are faster since they are only reading a smaller portion of data into the active R session, thanks @potterzot!. All read_ functions now support importing local files and parsing them. Users may now download the data using methods other than an R session and import local data. Additional datasets are now serviced: National and Catchment Scale Land Use data and ABS production data on broadacre crops, horticulture, and livestock. Users can set options for {read.abares} including: User-agent string for downloads, Timeout for downloads, Connect-timeout for downloads, Number of download retries and Verbosity of the package's messages. Thanks, @mpaulacaldas. Improved documentation including: All data sets now have an @source field that points to the file being provided All data sets now have an @references field that points to references for the data. Improved testing: Better coverage, >95% covered, Tests are faster due to using mocking to avoid downloading files during testing, Adds a check of URLs to ensure that they are still valid since no downloads occur during testing. Minor improvements and fixes Files are more reliably downloaded rather than timing out for some users, thanks to @obrsoil for the help troubleshooting this issue, painful as it was. skimr::skim() is used in the vignette to display the AGFD {data.table} formatted data rather than just using head(). {bit64} has been added to the Suggested packages to help users avoid warning messages when working with data in the console via {data.table}, thanks, @potterzot. Alternative installation instructions using {remotes} are provided in the README for users that may prefer or may not use {pak}, thanks, @potterzot. The topsoil thickness map now correctly displays proper continuous values rather than classes, thanks, @obrsoil. The geospatial vignette examples run more quickly, except for the AAGIS examples, which are still slow due to large downloads, but all local operations in R now run much more quickly, thanks to @potterzot.