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waywiser (development version)

waywiser 0.6.0

  • Metric functions now return NA in all cases where they previously returned NaN. This improves cross-platform consistency; in particular, MacOS often returned NA when every other platform would return NaN. (#63)

  • ww_multi_scale() now handles classification and class probability metrics better when called with raster arguments (either to data or to truth and estimate):

    • When called with classification metrics, ww_multi_scale() will now convert truth and estimate to factors before passing them to the metric set. Thanks to @nowosad for the report in #60 (#61).
    • When called with class probability metrics, ww_multi_scale() will convert truth to a factor and will pass estimate as an unnamed argument. (#62)
    • When called with a mix of class and probability metrics, ww_multi_scale() will error. (#62)

waywiser 0.5.1

  • ww_multi_scale() now warns if you provide crs as an argument to sf::st_make_grid() via .... Grids created by this function will always take their CRS from data.

  • ww_multi_scale() now throws an error if you pass arguments via ... while also providing a list of grids (because those arguments would be ignored).

  • ww_multi_scale() is now faster when data is an sf object, particularly when grids are created by passing arguments to sf::st_make_grid() (rather than passing grids via grids).

waywiser 0.5.0

  • ww_multi_scale() did not correctly handle grid cellsizes with units. Units (set using the units package) are now respected.

  • ww_multi_scale() using sf data always returned "1" for truth and estimate counts. This was because counts were calculated post-aggregation by mistake. Calculation order has been fixed, and these counts should now be correct.

waywiser 0.4.2

  • 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.

waywiser 0.4.1

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

waywiser 0.4.0

Breaking Changes

  • 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.

New Features

  • 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.

Bug Fixes

  • 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.

waywiser 0.3.0

Breaking Changes

  • 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.

New Features

  • 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.

Bug Fixes

  • 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

waywiser 0.2.0

  • Added functions for calculating the area of applicability of a model.

waywiser 0.1.0

  • Added functions for automatically constructing nb and listw objects

  • Added functions for global and local Geary's C values.

  • Added functions for local Getis-Ord G and G* values.

  • Added functions for global and local Moran's I values.

  • Added a NEWS.md file to track changes to the package.