ww_build_weights

These functions can be used for geographic or projected coordinate reference
systems and expect 2D data.

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 

ww_build_weights function

<dl><dt>x</dt>
<dd>Either an sf object or a "nb" neighbors list object.
If an sf object, will be converted into a neighbors list via
<code>ww_build_neighbors()</code>.</dd>
<dt>wt</dt>
<dd>Either a "listw" object (which will be returned unchanged),
a function for creating a "listw" object from <code>x</code>, or <code>NULL</code>, in which case
weights will be constructed via <code>spdep::nb2listw()</code>.</dd>
<dt>include_self</dt>
<dd>Include each region itself in its own list of neighbors?</dd>
<dt>...</dt>
<dd>Arguments passed to the weight constructing function.</dd></dl>

Arguments

Build "listw" objects of spatial weights — ww_build_weights

<dl>

<dt>x</dt>
<dd>Either an sf object or a "nb" neighbors list object.
If an sf object, will be converted into a neighbors list via
<code>ww_build_neighbors()</code>.</dd>


<dt>wt</dt>
<dd>Either a "listw" object (which will be returned unchanged),
a function for creating a "listw" object from <code>x</code>, or <code>NULL</code>, in which case
weights will be constructed via <code>spdep::nb2listw()</code>.</dd>


<dt>include_self</dt>
<dd>Include each region itself in its own list of neighbors?</dd>


<dt>...</dt>
<dd>Arguments passed to the weight constructing function.</dd>

</dl>

ww_build_weights: Build "listw" objects of spatial weights

Description

Usage

Value

Arguments

Examples