Changelog

waywiser (development version)

CRAN release: 2023-07-20

This is a patch release to keep up with additional breaking changes in the vip package. There are no user-facing differences in this version.

CRAN release: 2023-07-03

This is a patch release to keep up with breaking changes in the vip package. There are no user-facing differences in this version.

CRAN release: 2023-05-17

ww_build_neighbors() (and by extent, every spatial dependence metric) will no longer calculate neighbors for non-point or non-polygon geometries.
Functions dealing with local Moran’s I and related p-values (both data frame and vector variants) now return unnamed vectors.

Added a new method to support passing a SpatRaster to data in ww_multi_scale(), with truth and estimate being indices used to subset data. This is a bit faster than passing SpatRaster objects to truth and estimate, as extraction is only done once per grid rather than twice, but does not easily support passing R functions to aggregation_function.
Metric functions now have better error messages including the name of the function the user called that errored, not the internal function that errored. Huge thanks to @EmilHvitfeldt for their PR (#40).
Data frame metric functions now guarantee that .estimate will be an unnamed vector.

The sf method for ww_multi_scale() is now much faster (and more memory efficient).
Fixed the warning when ww_area_of_applicability() calculates an AOA threshold of 0. It now includes “Did you accidentally pass the same data as testing and training?” as a bullet.

CRAN release: 2023-03-19

Removed combination functions – ww_global_geary, ww_global_moran, ww_local_geary, ww_local_moran, ww_local_getis_ord. Use metric_set() to combine functions instead.
Renamed ww_local_getis_ord_pvalue_vec() and variants to ww_local_getis_ord_g_pvalue_vec(); this change allows internal functions to work properly, and makes it easier for the output to indicate if the p-value is associated with a g or g* value.
Yardstick metrics will no longer include geometry columns in their returns.
The na_action argument to ww_area_of_applicability() has been replaced by na_rm, with a default value of FALSE.
na_rm is now TRUE by default for non-spatial-autocorrelation functions. NA values will cause spatial-autocorrelation functions to fail with an error.

Added functions (primarily ww_multi_scale()) and a vignette for multi-scale assessment of model predictions.
Added functions to calculate metrics from Ji and Gallo (2006) and Willmott (1981, 1982, 2012): ww_agreement_coefficient(), ww_systematic_agreement_coefficient(), ww_unsystematic_agreement_coefficient(), ww_unsystematic_mpd(),, ww_systematic_mpd(), ww_unsystematic_rmpd(), ww_systematic_rmpd(), ww_willmott_d(), ww_willmott_dr(), ww_willmott_d1(), ww_systematic_mse(), ww_unsystematic_mse(), ww_systematic_rmse(), ww_unsystematic_rmse(). Note that ww_willmott_dr() uses the version from Willmott (2012); other implementations (sometimes called “d1r”) seem to use an unbounded variant that I haven’t found a reference to support.
Changed a call in ww_area_of_applicability() to use FNN for nearest neighbors, rather than fields. This sped up prediction by a lot.

Rewrote README and moved the old content to a new vignette on assessing the spatial dependency in model residuals.
Added a dependency on FNN.
Minimum version for dplyr has been bumped to 1.1.0

CRAN release: 2022-10-23

CRAN release: 2022-08-10