waywiser: Methods for Assessing Spatial Models

Assessing predictive models of spatial data can be challenging, both because these models are typically built for extrapolating outside the original region represented by training data and due to potential spatially structured errors, with "hot spots" of higher than expected error clustered geographically due to spatial structure in the underlying data. These functions provide methods for measuring the spatial structure of model errors and evaluating where predictions can be made safely, and are particularly useful for models fit using the 'tidymodels' framework. Methods include Moran's I ('Moran' (1950) <doi:10.2307/2332142>), Geary's C ('Geary' (1954) <doi:10.2307/2986645>), Getis-Ord's G ('Ord' and 'Getis' (1995) <doi:10.1111/j.1538-4632.1995.tb00912.x>), as well as an implementation of the area of applicability methodology from 'Meyer' and 'Pebesma' (2021) (<doi:10.1111/2041-210X.13650>).

Version: 0.2.0
Depends: R (≥ 3.6)
Imports: fields, glue, hardhat, Matrix, purrr, rlang, rsample, sf, spdep, stats, tibble, yardstick
Suggests: applicable, covr, dplyr, ggplot2, recipes, sfdep, spatialsample, spelling, testthat (≥ 3.0.0), tidymodels, tidyr, vip
Published: 2022-10-23
Author: Michael Mahoney ORCID iD [aut, cre], Lucas Johnson ORCID iD [ctb], RStudio [cph, fnd]
Maintainer: Michael Mahoney <mike.mahoney.218 at gmail.com>
BugReports: https://github.com/mikemahoney218/waywiser/issues
License: MIT + file LICENSE
URL: https://github.com/mikemahoney218/waywiser, https://mikemahoney218.github.io/waywiser/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: waywiser results


Reference manual: waywiser.pdf


Package source: waywiser_0.2.0.tar.gz
Windows binaries: r-devel: waywiser_0.2.0.zip, r-release: waywiser_0.2.0.zip, r-oldrel: waywiser_0.2.0.zip
macOS binaries: r-release (arm64): waywiser_0.2.0.tgz, r-oldrel (arm64): waywiser_0.2.0.tgz, r-release (x86_64): waywiser_0.2.0.tgz, r-oldrel (x86_64): waywiser_0.2.0.tgz
Old sources: waywiser archive


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