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For example, if the planning unit cost data describe land acquisition costs
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<h1>Evaluate solution cost</h1>
<small class="dont-index">Source: <a href='https://github.com/prioritizr/prioritizr/blob/master/R/eval_cost_summary.R'><code>R/eval_cost_summary.R</code></a></small>
<div class="hidden name"><code>eval_cost_summary.Rd</code></div>
</div>
<div class="ref-description">
<p>Calculate the total cost of a solution to a conservation planning
<code><a href='problem.html'>problem()</a></code>.
For example, if the planning unit cost data describe land acquisition costs
(USD), then the total cost would be net cost (USD) needed to acquire
all planning units selected within the solution.</p>
</div>
<div class="ref-usage sourceCode"><pre class='sourceCode r'><code><span class='fu'>eval_cost_summary</span><span class='op'>(</span><span class='va'>x</span>, <span class='va'>solution</span><span class='op'>)</span>
<span class='co'># S3 method for default</span>
<span class='fu'>eval_cost_summary</span><span class='op'>(</span><span class='va'>x</span>, <span class='va'>solution</span><span class='op'>)</span>
<span class='co'># S3 method for ConservationProblem</span>
<span class='fu'>eval_cost_summary</span><span class='op'>(</span><span class='va'>x</span>, <span class='va'>solution</span><span class='op'>)</span></code></pre></div>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
<colgroup><col class="name" /><col class="desc" /></colgroup>
<tr>
<th>x</th>
<td><p><code><a href='problem.html'>problem()</a></code> (i.e. <code><a href='ConservationProblem-class.html'>ConservationProblem</a></code>) object.</p></td>
</tr>
<tr>
<th>solution</th>
<td><p><code>numeric</code>, <code>matrix</code>, <code>data.frame</code>,
<code><a href='https://rdrr.io/pkg/raster/man/Raster-classes.html'>Raster</a></code>, <code><a href='https://rdrr.io/pkg/sp/man/Spatial-class.html'>Spatial</a></code>,
or <code><a href='https://r-spatial.github.io/sf/reference/sf.html'>sf::sf()</a></code> object.
The argument should be in the same format as the planning unit cost
data in the argument to <code>x</code>.
See the Solution format section for more information.</p></td>
</tr>
</table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
<p><code><a href='https://tibble.tidyverse.org/reference/tibble.html'>tibble::tibble()</a></code> object containing the solution cost.
It contains the following columns:</p>
<dl>
<dt>summary</dt><dd><p><code>character</code> description of the summary statistic.
The statistic associated with the <code>"overall"</code> value
in this column is calculated using the entire solution
(including all management zones if there are multiple zones).
If multiple management zones are present, then summary statistics
are also provided for each zone separately
(indicated using zone names).</p></dd>
<dt>cost</dt><dd><p><code>numeric</code> cost value.
Greater values correspond to solutions that are more costly
to implement.
Thus conservation planning exercises typically prefer solutions
with smaller values, because they are cheaper to implement
(assuming all other relevant factors, such as feature representation,
are equal).</p></dd>
</dl>
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
<p>This metric is equivalent to the <code>Cost</code> metric reported by the
<a href='https://marxansolutions.org'><em>Marxan</em> software</a> (Ball <em>et al.</em> 2009).
Specifically, the cost of a solution is defined as the sum of the cost
values, supplied when creating a <code><a href='problem.html'>problem()</a></code> object
(e.g. using the <code>cost_column</code> argument),
weighted by the status of each planning unit in the solution.</p>
<h2 class="hasAnchor" id="solution-format"><a class="anchor" href="#solution-format"></a>Solution format</h2>
<p>Broadly speaking, the argument to <code>solution</code> must be in the same format as
the planning unit data in the argument to <code>x</code>.
Further details on the correct format are listed separately
for each of the different planning unit data formats:</p>
<dl>
<dt><code>x</code> has <code>numeric</code> planning units</dt><dd><p>The argument to <code>solution</code> must be a
<code>numeric</code> vector with each element corresponding to a different planning
unit. It should have the same number of planning units as those
in the argument to <code>x</code>. Additionally, any planning units missing
cost (<code>NA</code>) values should also have missing (<code>NA</code>) values in the
argument to <code>solution</code>.</p></dd>
<dt><code>x</code> has <code>matrix</code> planning units</dt><dd><p>The argument to <code>solution</code> must be a
<code>matrix</code> vector with each row corresponding to a different planning
unit, and each column correspond to a different management zone.
It should have the same number of planning units and zones
as those in the argument to <code>x</code>. Additionally, any planning units
missing cost (<code>NA</code>) values for a particular zone should also have a
missing (<code>NA</code>) values in the argument to <code>solution</code>.</p></dd>
<dt><code>x</code> has <code><a href='https://rdrr.io/pkg/raster/man/Raster-classes.html'>Raster</a></code> planning units</dt><dd><p>The argument to <code>solution</code>
be a <code><a href='https://rdrr.io/pkg/raster/man/Raster-classes.html'>Raster</a></code> object where different grid cells (pixels) correspond
to different planning units and layers correspond to
a different management zones. It should have the same dimensionality
(rows, columns, layers), resolution, extent, and coordinate reference
system as the planning units in the argument to <code>x</code>. Additionally,
any planning units missing cost (<code>NA</code>) values for a particular zone
should also have missing (<code>NA</code>) values in the argument to <code>solution</code>.</p></dd>
<dt><code>x</code> has <code>data.frame</code> planning units</dt><dd><p>The argument to <code>solution</code> must
be a <code>data.frame</code> with each column corresponding to a different zone,
each row corresponding to a different planning unit, and cell values
corresponding to the solution value. This means that if a <code>data.frame</code>
object containing the solution also contains additional columns, then
these columns will need to be subsetted prior to using this function
(see below for example with <code><a href='https://r-spatial.github.io/sf/reference/sf.html'>sf::sf()</a></code> data).
Additionally, any planning units missing cost
(<code>NA</code>) values for a particular zone should also have missing (<code>NA</code>)
values in the argument to <code>solution</code>.</p></dd>
<dt><code>x</code> has <code><a href='https://rdrr.io/pkg/sp/man/Spatial-class.html'>Spatial</a></code> planning units</dt><dd><p>The argument to <code>solution</code>
must be a <code><a href='https://rdrr.io/pkg/sp/man/Spatial-class.html'>Spatial</a></code> object with each column corresponding to a
different zone, each row corresponding to a different planning unit, and
cell values corresponding to the solution value. This means that if the
<code><a href='https://rdrr.io/pkg/sp/man/Spatial-class.html'>Spatial</a></code> object containing the solution also contains additional
columns, then these columns will need to be subsetted prior to using this
function (see below for example with <code><a href='https://r-spatial.github.io/sf/reference/sf.html'>sf::sf()</a></code> data).
Additionally, the argument to <code>solution</code> must also have the same
coordinate reference system as the planning unit data.
Furthermore, any planning units missing cost
(<code>NA</code>) values for a particular zone should also have missing (<code>NA</code>)
values in the argument to <code>solution</code>.</p></dd>
<dt><code>x</code> has <code><a href='https://r-spatial.github.io/sf/reference/sf.html'>sf::sf()</a></code> planning units</dt><dd><p>The argument to <code>solution</code> must be
a <code><a href='https://r-spatial.github.io/sf/reference/sf.html'>sf::sf()</a></code> object with each column corresponding to a different
zone, each row corresponding to a different planning unit, and cell values
corresponding to the solution value. This means that if the
<code><a href='https://r-spatial.github.io/sf/reference/sf.html'>sf::sf()</a></code> object containing the solution also contains additional
columns, then these columns will need to be subsetted prior to using this
function (see below for example).
Additionally, the argument to <code>solution</code> must also have the same
coordinate reference system as the planning unit data.
Furthermore, any planning units missing cost
(<code>NA</code>) values for a particular zone should also have missing (<code>NA</code>)
values in the argument to <code>solution</code>.</p></dd>
</dl>
<h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>
<p>Ball IR, Possingham HP, and Watts M (2009) <em>Marxan and relatives:
Software for spatial conservation prioritisation</em> in Spatial conservation
prioritisation: Quantitative methods and computational tools. Eds Moilanen
A, Wilson KA, and Possingham HP. Oxford University Press, Oxford, UK.</p>
<h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2>
<div class='dont-index'><p><code><a href='problem.html'>problem()</a></code>, <a href='summaries.html'>summaries</a>.</p></div>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<div class="ref-examples sourceCode"><pre class='sourceCode r'><code><span class='r-in'><span class='co'># \dontrun{</span></span>
<span class='r-in'><span class='co'># set seed for reproducibility</span></span>
<span class='r-in'><span class='fu'><a href='https://rdrr.io/r/base/Random.html'>set.seed</a></span><span class='op'>(</span><span class='fl'>500</span><span class='op'>)</span></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># load data</span></span>
<span class='r-in'><span class='fu'><a href='https://rdrr.io/r/utils/data.html'>data</a></span><span class='op'>(</span><span class='va'>sim_pu_raster</span>, <span class='va'>sim_pu_sf</span>, <span class='va'>sim_features</span>,</span>
<span class='r-in'> <span class='va'>sim_pu_zones_sf</span>, <span class='va'>sim_features_zones</span><span class='op'>)</span></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># build minimal conservation problem with raster data</span></span>
<span class='r-in'><span class='va'>p1</span> <span class='op'><-</span> <span class='fu'><a href='problem.html'>problem</a></span><span class='op'>(</span><span class='va'>sim_pu_raster</span>, <span class='va'>sim_features</span><span class='op'>)</span> <span class='op'><a href='pipe.html'>%>%</a></span></span>
<span class='r-in'> <span class='fu'><a href='add_min_set_objective.html'>add_min_set_objective</a></span><span class='op'>(</span><span class='op'>)</span> <span class='op'><a href='pipe.html'>%>%</a></span></span>
<span class='r-in'> <span class='fu'><a href='add_relative_targets.html'>add_relative_targets</a></span><span class='op'>(</span><span class='fl'>0.1</span><span class='op'>)</span> <span class='op'><a href='pipe.html'>%>%</a></span></span>
<span class='r-in'> <span class='fu'><a href='add_binary_decisions.html'>add_binary_decisions</a></span><span class='op'>(</span><span class='op'>)</span> <span class='op'><a href='pipe.html'>%>%</a></span></span>
<span class='r-in'> <span class='fu'><a href='add_default_solver.html'>add_default_solver</a></span><span class='op'>(</span>verbose <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># solve the problem</span></span>
<span class='r-in'><span class='va'>s1</span> <span class='op'><-</span> <span class='fu'><a href='solve.html'>solve</a></span><span class='op'>(</span><span class='va'>p1</span><span class='op'>)</span></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># print solution</span></span>
<span class='r-in'><span class='fu'><a href='print.html'>print</a></span><span class='op'>(</span><span class='va'>s1</span><span class='op'>)</span></span>
<span class='r-out co'><span class='r-pr'>#></span> class : RasterLayer </span>
<span class='r-out co'><span class='r-pr'>#></span> dimensions : 10, 10, 100 (nrow, ncol, ncell)</span>
<span class='r-out co'><span class='r-pr'>#></span> resolution : 0.1, 0.1 (x, y)</span>
<span class='r-out co'><span class='r-pr'>#></span> extent : 0, 1, 0, 1 (xmin, xmax, ymin, ymax)</span>
<span class='r-out co'><span class='r-pr'>#></span> crs : NA </span>
<span class='r-out co'><span class='r-pr'>#></span> source : memory</span>
<span class='r-out co'><span class='r-pr'>#></span> names : layer </span>
<span class='r-out co'><span class='r-pr'>#></span> values : 0, 1 (min, max)</span>
<span class='r-out co'><span class='r-pr'>#></span> </span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># plot solution</span></span>
<span class='r-in'><span class='fu'><a href='https://rdrr.io/pkg/raster/man/plot.html'>plot</a></span><span class='op'>(</span><span class='va'>s1</span>, main <span class='op'>=</span> <span class='st'>"solution"</span>, axes <span class='op'>=</span> <span class='cn'>FALSE</span>, box <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span></span>
<span class='r-plt'><img src='eval_cost_summary-1.png' alt='' width='700' height='433' /></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># calculate cost of the solution</span></span>
<span class='r-in'><span class='va'>r1</span> <span class='op'><-</span> <span class='fu'>eval_cost_summary</span><span class='op'>(</span><span class='va'>p1</span>, <span class='va'>s1</span><span class='op'>)</span></span>
<span class='r-in'><span class='fu'><a href='print.html'>print</a></span><span class='op'>(</span><span class='va'>r1</span><span class='op'>)</span></span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #949494;'># A tibble: 1 x 2</span></span>
<span class='r-out co'><span class='r-pr'>#></span> summary cost</span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #949494; font-style: italic;'><chr></span> <span style='color: #949494; font-style: italic;'><dbl></span></span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>1</span> overall <span style='text-decoration: underline;'>1</span>987.</span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># build minimal conservation problem with polygon (sf) data</span></span>
<span class='r-in'><span class='va'>p2</span> <span class='op'><-</span> <span class='fu'><a href='problem.html'>problem</a></span><span class='op'>(</span><span class='va'>sim_pu_sf</span>, <span class='va'>sim_features</span>, cost_column <span class='op'>=</span> <span class='st'>"cost"</span><span class='op'>)</span> <span class='op'><a href='pipe.html'>%>%</a></span></span>
<span class='r-in'> <span class='fu'><a href='add_min_set_objective.html'>add_min_set_objective</a></span><span class='op'>(</span><span class='op'>)</span> <span class='op'><a href='pipe.html'>%>%</a></span></span>
<span class='r-in'> <span class='fu'><a href='add_relative_targets.html'>add_relative_targets</a></span><span class='op'>(</span><span class='fl'>0.1</span><span class='op'>)</span> <span class='op'><a href='pipe.html'>%>%</a></span></span>
<span class='r-in'> <span class='fu'><a href='add_binary_decisions.html'>add_binary_decisions</a></span><span class='op'>(</span><span class='op'>)</span> <span class='op'><a href='pipe.html'>%>%</a></span></span>
<span class='r-in'> <span class='fu'><a href='add_default_solver.html'>add_default_solver</a></span><span class='op'>(</span>verbose <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># solve the problem</span></span>
<span class='r-in'><span class='va'>s2</span> <span class='op'><-</span> <span class='fu'><a href='solve.html'>solve</a></span><span class='op'>(</span><span class='va'>p2</span><span class='op'>)</span></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># plot solution</span></span>
<span class='r-in'><span class='fu'><a href='https://rdrr.io/pkg/raster/man/plot.html'>plot</a></span><span class='op'>(</span><span class='va'>s2</span><span class='op'>[</span>, <span class='st'>"solution_1"</span><span class='op'>]</span><span class='op'>)</span></span>
<span class='r-plt'><img src='eval_cost_summary-2.png' alt='' width='700' height='433' /></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># print first six rows of the attribute table</span></span>
<span class='r-in'><span class='fu'><a href='print.html'>print</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/pkg/raster/man/headtail.html'>head</a></span><span class='op'>(</span><span class='va'>s2</span><span class='op'>)</span><span class='op'>)</span></span>
<span class='r-out co'><span class='r-pr'>#></span> Simple feature collection with 6 features and 4 fields</span>
<span class='r-out co'><span class='r-pr'>#></span> Geometry type: POLYGON</span>
<span class='r-out co'><span class='r-pr'>#></span> Dimension: XY</span>
<span class='r-out co'><span class='r-pr'>#></span> Bounding box: xmin: 0 ymin: 0.9 xmax: 0.6 ymax: 1</span>
<span class='r-out co'><span class='r-pr'>#></span> CRS: NA</span>
<span class='r-out co'><span class='r-pr'>#></span> cost locked_in locked_out solution_1 geometry</span>
<span class='r-out co'><span class='r-pr'>#></span> 1 215.8638 FALSE FALSE 0 POLYGON ((0 1, 0.1 1, 0.1 0...</span>
<span class='r-out co'><span class='r-pr'>#></span> 2 212.7823 FALSE FALSE 0 POLYGON ((0.1 1, 0.2 1, 0.2...</span>
<span class='r-out co'><span class='r-pr'>#></span> 3 207.4962 FALSE FALSE 0 POLYGON ((0.2 1, 0.3 1, 0.3...</span>
<span class='r-out co'><span class='r-pr'>#></span> 4 208.9322 FALSE TRUE 0 POLYGON ((0.3 1, 0.4 1, 0.4...</span>
<span class='r-out co'><span class='r-pr'>#></span> 5 214.0419 FALSE FALSE 0 POLYGON ((0.4 1, 0.5 1, 0.5...</span>
<span class='r-out co'><span class='r-pr'>#></span> 6 213.7636 FALSE FALSE 0 POLYGON ((0.5 1, 0.6 1, 0.6...</span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># calculate cost of the solution</span></span>
<span class='r-in'><span class='va'>r2</span> <span class='op'><-</span> <span class='fu'>eval_cost_summary</span><span class='op'>(</span><span class='va'>p2</span>, <span class='va'>s2</span><span class='op'>[</span>, <span class='st'>"solution_1"</span><span class='op'>]</span><span class='op'>)</span></span>
<span class='r-in'><span class='fu'><a href='print.html'>print</a></span><span class='op'>(</span><span class='va'>r2</span><span class='op'>)</span></span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #949494;'># A tibble: 1 x 2</span></span>
<span class='r-out co'><span class='r-pr'>#></span> summary cost</span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #949494; font-style: italic;'><chr></span> <span style='color: #949494; font-style: italic;'><dbl></span></span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>1</span> overall <span style='text-decoration: underline;'>1</span>793.</span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># manually calculate cost of the solution</span></span>
<span class='r-in'><span class='va'>r2_manual</span> <span class='op'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/sum.html'>sum</a></span><span class='op'>(</span><span class='va'>s2</span><span class='op'>$</span><span class='va'>solution</span> <span class='op'>*</span> <span class='va'>sim_pu_sf</span><span class='op'>$</span><span class='va'>cost</span>, na.rm <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span></span>
<span class='r-in'><span class='fu'><a href='print.html'>print</a></span><span class='op'>(</span><span class='va'>r2_manual</span><span class='op'>)</span></span>
<span class='r-out co'><span class='r-pr'>#></span> [1] 1792.535</span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># build multi-zone conservation problem with polygon (sf) data</span></span>
<span class='r-in'><span class='va'>p3</span> <span class='op'><-</span> <span class='fu'><a href='problem.html'>problem</a></span><span class='op'>(</span><span class='va'>sim_pu_zones_sf</span>, <span class='va'>sim_features_zones</span>,</span>
<span class='r-in'> cost_column <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"cost_1"</span>, <span class='st'>"cost_2"</span>, <span class='st'>"cost_3"</span><span class='op'>)</span><span class='op'>)</span> <span class='op'><a href='pipe.html'>%>%</a></span></span>
<span class='r-in'> <span class='fu'><a href='add_min_set_objective.html'>add_min_set_objective</a></span><span class='op'>(</span><span class='op'>)</span> <span class='op'><a href='pipe.html'>%>%</a></span></span>
<span class='r-in'> <span class='fu'><a href='add_relative_targets.html'>add_relative_targets</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/matrix.html'>matrix</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/stats/Uniform.html'>runif</a></span><span class='op'>(</span><span class='fl'>15</span>, <span class='fl'>0.1</span>, <span class='fl'>0.2</span><span class='op'>)</span>, nrow <span class='op'>=</span> <span class='fl'>5</span>,</span>
<span class='r-in'> ncol <span class='op'>=</span> <span class='fl'>3</span><span class='op'>)</span><span class='op'>)</span> <span class='op'><a href='pipe.html'>%>%</a></span></span>
<span class='r-in'> <span class='fu'><a href='add_binary_decisions.html'>add_binary_decisions</a></span><span class='op'>(</span><span class='op'>)</span> <span class='op'><a href='pipe.html'>%>%</a></span></span>
<span class='r-in'> <span class='fu'><a href='add_default_solver.html'>add_default_solver</a></span><span class='op'>(</span>verbose <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># solve the problem</span></span>
<span class='r-in'><span class='va'>s3</span> <span class='op'><-</span> <span class='fu'><a href='solve.html'>solve</a></span><span class='op'>(</span><span class='va'>p3</span><span class='op'>)</span></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># print first six rows of the attribute table</span></span>
<span class='r-in'><span class='fu'><a href='print.html'>print</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/pkg/raster/man/headtail.html'>head</a></span><span class='op'>(</span><span class='va'>s3</span><span class='op'>)</span><span class='op'>)</span></span>
<span class='r-out co'><span class='r-pr'>#></span> Simple feature collection with 6 features and 9 fields</span>
<span class='r-out co'><span class='r-pr'>#></span> Geometry type: POLYGON</span>
<span class='r-out co'><span class='r-pr'>#></span> Dimension: XY</span>
<span class='r-out co'><span class='r-pr'>#></span> Bounding box: xmin: 0 ymin: 0.9 xmax: 0.6 ymax: 1</span>
<span class='r-out co'><span class='r-pr'>#></span> CRS: NA</span>
<span class='r-out co'><span class='r-pr'>#></span> cost_1 cost_2 cost_3 locked_1 locked_2 locked_3 solution_1_zone_1</span>
<span class='r-out co'><span class='r-pr'>#></span> 1 215.8638 183.3344 205.4113 FALSE FALSE FALSE 0</span>
<span class='r-out co'><span class='r-pr'>#></span> 2 212.7823 189.4978 209.6404 FALSE FALSE FALSE 0</span>
<span class='r-out co'><span class='r-pr'>#></span> 3 207.4962 193.6007 215.4212 TRUE FALSE FALSE 0</span>
<span class='r-out co'><span class='r-pr'>#></span> 4 208.9322 197.5897 218.5241 FALSE FALSE FALSE 0</span>
<span class='r-out co'><span class='r-pr'>#></span> 5 214.0419 199.8033 220.7100 FALSE FALSE FALSE 0</span>
<span class='r-out co'><span class='r-pr'>#></span> 6 213.7636 203.1867 224.6809 FALSE FALSE FALSE 0</span>
<span class='r-out co'><span class='r-pr'>#></span> solution_1_zone_2 solution_1_zone_3 geometry</span>
<span class='r-out co'><span class='r-pr'>#></span> 1 0 1 POLYGON ((0 1, 0.1 1, 0.1 0...</span>
<span class='r-out co'><span class='r-pr'>#></span> 2 0 0 POLYGON ((0.1 1, 0.2 1, 0.2...</span>
<span class='r-out co'><span class='r-pr'>#></span> 3 0 0 POLYGON ((0.2 1, 0.3 1, 0.3...</span>
<span class='r-out co'><span class='r-pr'>#></span> 4 0 0 POLYGON ((0.3 1, 0.4 1, 0.4...</span>
<span class='r-out co'><span class='r-pr'>#></span> 5 0 0 POLYGON ((0.4 1, 0.5 1, 0.5...</span>
<span class='r-out co'><span class='r-pr'>#></span> 6 1 0 POLYGON ((0.5 1, 0.6 1, 0.6...</span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># create new column representing the zone id that each planning unit</span></span>
<span class='r-in'><span class='co'># was allocated to in the solution</span></span>
<span class='r-in'><span class='va'>s3</span><span class='op'>$</span><span class='va'>solution</span> <span class='op'><-</span> <span class='fu'><a href='category_vector.html'>category_vector</a></span><span class='op'>(</span></span>
<span class='r-in'> <span class='va'>s3</span><span class='op'>[</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"solution_1_zone_1"</span>, <span class='st'>"solution_1_zone_2"</span>, <span class='st'>"solution_1_zone_3"</span><span class='op'>)</span><span class='op'>]</span><span class='op'>)</span></span>
<span class='r-in'><span class='va'>s3</span><span class='op'>$</span><span class='va'>solution</span> <span class='op'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/factor.html'>factor</a></span><span class='op'>(</span><span class='va'>s3</span><span class='op'>$</span><span class='va'>solution</span><span class='op'>)</span></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># plot solution</span></span>
<span class='r-in'><span class='fu'><a href='https://rdrr.io/pkg/raster/man/plot.html'>plot</a></span><span class='op'>(</span><span class='va'>s3</span><span class='op'>[</span>, <span class='st'>"solution"</span><span class='op'>]</span><span class='op'>)</span></span>
<span class='r-plt'><img src='eval_cost_summary-3.png' alt='' width='700' height='433' /></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># calculate cost of the solution</span></span>
<span class='r-in'><span class='va'>r3</span> <span class='op'><-</span> <span class='fu'>eval_cost_summary</span><span class='op'>(</span></span>
<span class='r-in'> <span class='va'>p3</span>, <span class='va'>s3</span><span class='op'>[</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"solution_1_zone_1"</span>, <span class='st'>"solution_1_zone_2"</span>, <span class='st'>"solution_1_zone_3"</span><span class='op'>)</span><span class='op'>]</span><span class='op'>)</span></span>
<span class='r-in'><span class='fu'><a href='print.html'>print</a></span><span class='op'>(</span><span class='va'>r3</span><span class='op'>)</span></span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #949494;'># A tibble: 4 x 2</span></span>
<span class='r-out co'><span class='r-pr'>#></span> summary cost</span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #949494; font-style: italic;'><chr></span> <span style='color: #949494; font-style: italic;'><dbl></span></span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>1</span> overall <span style='text-decoration: underline;'>10</span>160.</span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>2</span> zone_1 <span style='text-decoration: underline;'>3</span>395.</span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>3</span> zone_2 <span style='text-decoration: underline;'>3</span>322.</span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>4</span> zone_3 <span style='text-decoration: underline;'>3</span>443.</span>
<span class='r-in'><span class='co'># }</span></span>
</code></pre></div>
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