ww_build_neighbors

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_neighbors function

<dl><dt>data</dt>
<dd>An sf object (of class "sf" or "sfc").</dd>
<dt>nb</dt>
<dd>An object of class "nb" (in which case it will be returned
unchanged), or a function to create an object of class "nb" from <code>data</code> and
<code>...</code>, or <code>NULL</code>. See details.</dd>
<dt>...</dt>
<dd>Arguments passed to the neighbor-creating function.</dd>
<dt>call</dt>
<dd>The execution environment of a currently running
function, e.g. <code>call = caller_env()</code>. The corresponding function
call is retrieved and mentioned in error messages as the source
of the error.
You only need to supply <code>call</code> when throwing a condition from a
helper function which wouldn't be relevant to mention in the
message.
Can also be <code>NULL</code> or a <a href="https://rlang.r-lib.org/reference/topic-defuse.html">defused function call</a> to
respectively not display any call or hard-code a code to display.
For more information about error calls, see <a href="https://rlang.r-lib.org/reference/topic-error-call.html">Including function calls in error messages</a>.</dd></dl>

Arguments

Make 'nb' objects from sf objects — ww_build_neighbors

<dl>

<dt>data</dt>
<dd>An sf object (of class "sf" or "sfc").</dd>


<dt>nb</dt>
<dd>An object of class "nb" (in which case it will be returned
unchanged), or a function to create an object of class "nb" from <code>data</code> and
<code>...</code>, or <code>NULL</code>. See details.</dd>


<dt>...</dt>
<dd>Arguments passed to the neighbor-creating function.</dd>


<dt>call</dt>
<dd>The execution environment of a currently running
function, e.g. <code>call = caller_env()</code>. The corresponding function
call is retrieved and mentioned in error messages as the source
of the error.
You only need to supply <code>call</code> when throwing a condition from a
helper function which wouldn't be relevant to mention in the
message.
Can also be <code>NULL</code> or a <a href='https://rlang.r-lib.org/reference/topic-defuse.html'>defused function call</a> to
respectively not display any call or hard-code a code to display.
For more information about error calls, see <a href='https://rlang.r-lib.org/reference/topic-error-call.html'>Including function calls in error messages</a>.</dd>

</dl>

ww_build_neighbors: Make 'nb' objects from sf objects

Description

Usage

Value

Arguments

Details

Examples