Changelog
Source:NEWS.md
extractOz 1.1.18
Minor Changes
-
df_to_list()
now supports {data.table} objects. -
df_to_list()
now supports columns not named “x” and “y” for the longitude and latitude values in the df to transform.
extractOz 1.1.0
Major changes
Introduce
extract_patched_point()
to get SILO Patched Point station data from the nearest station(s) to a given set of geographic coordinates.Introduce
extract_data_drill()
to get SILO Data Drill interpolated data from a given set of geographic coordinates.
Minor changes
GRDC Agroecoregions geopackage file is reduced in size by reducing the complexity through,
r rmapshaper::ms_simplify(aez, keep = 0.1, keep_shapes = FALSE)
Internal GRDC Agroecoregions object uses the same simplified GPKG and is saved using “xz” compression to save more file space.
Use {roxyglobals} for tracking global objects in the package in a tidier fashion.
extractOz 1.0.0
Major changes
All functions related to retrieving or extracting data are now prefixed as
extract_noun()
.Revert using internal data as geopackage, use in examples but use .Rda internally.
Add support for extracting weather data from the NASA POWER database,
extract_power()
.Move from {cropgrowdays} to {weatherOz}, this allows for more flexibility in the queries that can be performed in SILO. {cropgrowdays} only supports APSIM data returns, {weatherOz} supports the full compliment of SILO data options.
Use a named list of latitude and longitude input values rather than a
data.frame
. To help users, a new function,df_to_list()
has been added so that the workflow disruption can be minimised.Any objects returned are a
data.table
, aligning with {weatherOz}.Enhanced tests.
Add ability to manage DAAS soil order cache.
Add ability to download DAAS soil order data but not cache locally (default behaviour now).
extractOz 0.1.1
- Save spatial data as a geopackage object to save issues with sf, per https://www.mm218.dev/posts/2022-12-01-sf-in-packages/.
extractOz 0.1.0
- Download and locally cache soils data for major soil order classifications to reduce package size.