DESCRIPTION

Type: Package
Package: waywiser
Title: Ergonomic Methods for Assessing Spatial Models
Version: 0.6.0.9000
Authors@R: c(
    person("Michael", "Mahoney", , "mike.mahoney.218@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-2402-304X")),
    person("Lucas", "Johnson", , "lucas.k.johnson03@gmail.com", role = "ctb",
           comment = c(ORCID = "0000-0002-7953-0260")),
    person("Virgilio", "Gómez-Rubio", role = "rev",
           comment = "Virgilio reviewed the package (v. 0.2.0.9000) for rOpenSci, see <https://github.com/ropensci/software-review/issues/571>"),
    person("Jakub", "Nowosad", role = "rev",
           comment = "Jakub reviewed the package (v. 0.2.0.9000) for rOpenSci, see <https://github.com/ropensci/software-review/issues/571>"),
    person("Posit Software, PBC", role = c("cph", "fnd"))
  )
Description: 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. Methods are provided for assessing
    models fit to spatial data, including approaches for measuring the
    spatial structure of model errors, assessing model predictions at
    multiple spatial scales, and evaluating where predictions can be made
    safely. Methods 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>), agreement coefficients from
    'Ji' and Gallo (2006) (<doi: 10.14358/PERS.72.7.823>), agreement
    metrics from 'Willmott' (1981) (<doi: 10.1080/02723646.1981.10642213>)
    and 'Willmott' 'et' 'al'. (2012) (<doi: 10.1002/joc.2419>), an
    implementation of the area of applicability methodology from 'Meyer'
    and 'Pebesma' (2021) (<doi:10.1111/2041-210X.13650>), and an
    implementation of multi-scale assessment as described in 'Riemann'
    'et' 'al'. (2010) (<doi:10.1016/j.rse.2010.05.010>).
License: MIT + file LICENSE
URL: https://github.com/ropensci/waywiser,
    https://docs.ropensci.org/waywiser/
BugReports: https://github.com/ropensci/waywiser/issues
Depends: 
    R (>= 4.0)
Imports: 
    dplyr (>= 1.1.0),
    fields,
    FNN,
    glue,
    hardhat,
    Matrix,
    purrr,
    rlang (>= 1.1.0),
    sf (>= 1.0-0),
    spdep (>= 1.1-9),
    stats,
    tibble,
    tidyselect,
    vctrs,
    yardstick (>= 1.2.0)
Suggests: 
    applicable,
    caret,
    CAST,
    covr,
    exactextractr,
    ggplot2,
    knitr,
    modeldata,
    recipes,
    rmarkdown,
    rsample,
    spatialsample,
    terra,
    testthat (>= 3.0.0),
    tidymodels,
    tidyr,
    tigris,
    units,
    vip,
    whisker,
    withr
VignetteBuilder: 
    knitr
Config/Needs/website: kableExtra
Config/testthat/edition: 3
Config/testthat/parallel: true
Encoding: UTF-8
Language: en-US
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1