print.ww_area_of_applicability

Print number of predictors and area-of-applicability threshold

internal

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>).

Michael Mahoney

waywiser

Ergonomic Methods for Assessing Spatial Models

Lucas Johnson

Virgilio Gómez-Rubio

Jakub Nowosad

Posit Software, PBC 

print.ww_area_of_applicability function

<dl><dt>x</dt>
<dd>A <code>ww_area_of_applicability</code> object.</dd>
<dt>digits</dt>
<dd>The number of digits to print, used when rounding the AOA threshold.</dd>
<dt>...</dt>
<dd>These dots are for future extensions and must be empty.</dd></dl>

Arguments

Print number of predictors and area-of-applicability threshold — print.ww_area_of_applicability

<dl>

<dt>x</dt>
<dd>A <code>ww_area_of_applicability</code> object.</dd>


<dt>digits</dt>
<dd>The number of digits to print, used when rounding the AOA threshold.</dd>


<dt>...</dt>
<dd>These dots are for future extensions and must be empty.</dd>

</dl>

print.ww_area_of_applicability: Print number of predictors and area-of-applicability threshold

Description

Usage

Arguments

Examples