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<meta property="og:title" content="Add maximum phylogenetic endemism objective — add_max_phylo_end_objective" />
<meta property="og:description" content="Set the objective of a conservation planning problem() to
maximize the phylogenetic endemism of the features represented in the
solution subject to a budget. This objective is similar to
add_max_phylo_end_objective() except
that emphasis is placed on representing species with geographically
restricted evolutionary histories, instead representing as much evolutionary
history as possible. This function was inspired by Faith (1992),
Rodrigues et al. (2002), and Rosauer et al. (2009)." />
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<h1>Add maximum phylogenetic endemism objective</h1>
<small class="dont-index">Source: <a href='https://github.com/prioritizr/prioritizr/blob/master/R/add_max_phylo_end_objective.R'><code>R/add_max_phylo_end_objective.R</code></a></small>
<div class="hidden name"><code>add_max_phylo_end_objective.Rd</code></div>
</div>
<div class="ref-description">
<p>Set the objective of a conservation planning <code><a href='problem.html'>problem()</a></code> to
maximize the phylogenetic endemism of the features represented in the
solution subject to a budget. This objective is similar to
<code>add_max_phylo_end_objective()</code> except
that emphasis is placed on representing species with geographically
restricted evolutionary histories, instead representing as much evolutionary
history as possible. This function was inspired by Faith (1992),
Rodrigues <em>et al.</em> (2002), and Rosauer <em>et al.</em> (2009).</p>
</div>
<div class="ref-usage sourceCode"><pre class='sourceCode r'><code><span class='fu'>add_max_phylo_end_objective</span><span class='op'>(</span><span class='va'>x</span>, <span class='va'>budget</span>, <span class='va'>tree</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>budget</th>
<td><p><code>numeric</code> value specifying the maximum expenditure of
the prioritization. For problems with multiple zones, the argument
to <code>budget</code> can be (i) a single <code>numeric</code> value to specify a single budget
for the entire solution or (ii) a <code>numeric</code> vector to specify
a separate budget for each management zone.</p></td>
</tr>
<tr>
<th>tree</th>
<td><p><code><a href='https://rdrr.io/pkg/ape/man/read.tree.html'>phylo()</a></code> object specifying a phylogenetic tree
for the conservation features.</p></td>
</tr>
</table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
<p>Object (i.e. <code><a href='ConservationProblem-class.html'>ConservationProblem</a></code>) with the objective
added to it.</p>
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
<p>The maximum phylogenetic endemism objective finds the set of
planning units that meets representation targets for a phylogenetic tree
while staying within a fixed budget. If multiple solutions can meet all
targets while staying within budget, the cheapest solution is chosen.
Note that this objective is similar to the maximum
features objective (<code><a href='add_max_features_objective.html'>add_max_features_objective()</a></code>) in that it
allows for both a budget and targets to be set for each feature. However,
unlike the maximum feature objective, the aim of this objective is to
maximize the total phylogenetic endemism of the targets met in the
solution, so if multiple targets are provided for a single feature, the
problem will only need to meet a single target for that feature
for the phylogenetic benefit for that feature to be counted when
calculating the phylogenetic endemism of the solution. In other words,
for multi-zone problems, this objective does not aim to maximize the
phylogenetic endemism in each zone, but rather this objective
aims to maximize the phylogenetic endemism of targets that can be met
through allocating planning units to any of the different zones in a
problem. This can be useful for problems where targets pertain to the total
amount held for each feature across multiple zones. For example,
each feature might have a non-zero amount of suitable habitat in each
planning unit when the planning units are assigned to a (i) not restored,
(ii) partially restored, or (iii) completely restored management zone.
Here each target corresponds to a single feature and can be met through
the total amount of habitat in planning units present to the three
zones.</p>
<h2 class="hasAnchor" id="mathematical-formulation"><a class="anchor" href="#mathematical-formulation"></a>Mathematical formulation</h2>
<p>This objective can be expressed mathematically for a set of planning units
(\(I\) indexed by \(i\)) and a set of features (\(J\)
indexed by \(j\)) as:</p>
<p>$$\mathit{Maximize} \space \sum_{i = 1}^{I} -s \space c_i \space x_i +
\sum_{j = 1}^{J} m_b l_b \frac{1}{a_b} \\
\mathit{subject \space to} \\
\sum_{i = 1}^{I} x_i r_{ij} \geq y_j t_j \forall j \in J \\
m_b \leq y_j \forall j \in T(b) \\
\sum_{i = 1}^{I} x_i c_i \leq B$$</p>
<p>Here, \(x_i\) is the <a href='decisions.html'>decisions</a> variable (e.g.
specifying whether planning unit \(i\) has been selected (1) or not
(0)), \(r_{ij}\) is the amount of feature \(j\) in planning
unit \(i\), \(t_j\) is the representation target for feature
\(j\), \(y_j\) indicates if the solution has meet
the target \(t_j\) for feature \(j\). Additionally,
\(T\) represents a phylogenetic tree containing features \(j\)
and has the branches \(b\) associated within lengths \(l_b\).
Each branch \(b \in B\) is associated with a total amount
\(a_b\) indicating the total geographic extent or amount of habitat.
The \(a_b\) variable for a given branch is calculated by summing the
\(r_{ij}\) data for all features \(j \in J\) that are
associated with the branch. The binary variable \(m_b\) denotes if
at least one feature associated with the branch \(b\) has met its
representation as indicated by \(y_j\). For brevity, we denote
the features \(j\) associated with branch \(b\) using
\(T(b)\). Finally, \(B\) is the budget allocated for the
solution, \(c_i\) is the cost of planning unit \(i\), and
\(s\) is a scaling factor used to shrink the costs so that the problem
will return a cheapest solution when there are multiple solutions that
represent the same amount of all features within the budget.</p>
<h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>
<p>Faith DP (1992) Conservation evaluation and phylogenetic diversity.
<em>Biological Conservation</em>, 61: 1--10.</p>
<p>Rodrigues ASL and Gaston KJ (2002) Maximising phylogenetic diversity in the
selection of networks of conservation areas. <em>Biological Conservation</em>,
105: 103--111.</p>
<p>Rosauer D, Laffan SW, Crisp, MD, Donnellan SC and Cook LG (2009)
Phylogenetic endemism: a new approach for identifying geographical
concentrations of evolutionary history. <em>Molecular Ecology</em>, 18:
4061--4072.</p>
<h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2>
<div class='dont-index'><p>See <a href='objectives.html'>objectives</a> for an overview of all functions for adding objectives.
Also, see <a href='targets.html'>targets</a> for an overview of all functions for adding targets, and
<code><a href='add_feature_weights.html'>add_feature_weights()</a></code> to specify weights for different features.</p>
<p>Other objectives:
<code><a href='add_max_cover_objective.html'>add_max_cover_objective</a>()</code>,
<code><a href='add_max_features_objective.html'>add_max_features_objective</a>()</code>,
<code><a href='add_max_phylo_div_objective.html'>add_max_phylo_div_objective</a>()</code>,
<code><a href='add_max_utility_objective.html'>add_max_utility_objective</a>()</code>,
<code><a href='add_min_largest_shortfall_objective.html'>add_min_largest_shortfall_objective</a>()</code>,
<code><a href='add_min_set_objective.html'>add_min_set_objective</a>()</code>,
<code><a href='add_min_shortfall_objective.html'>add_min_shortfall_objective</a>()</code></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'># load ape package</span></span>
<span class='r-in'><span class='kw'><a href='https://rdrr.io/r/base/library.html'>require</a></span><span class='op'>(</span><span class='va'><a href='http://ape-package.ird.fr/'>ape</a></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_features</span>, <span class='va'>sim_phylogeny</span>, <span class='va'>sim_pu_zones_stack</span>,</span>
<span class='r-in'> <span class='va'>sim_features_zones</span><span class='op'>)</span></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># plot the simulated phylogeny</span></span>
<span class='r-in'><span class='co'># \dontrun{</span></span>
<span class='r-in'><span class='fu'><a href='https://rdrr.io/r/graphics/par.html'>par</a></span><span class='op'>(</span>mfrow <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='fl'>1</span>, <span class='fl'>1</span><span class='op'>)</span><span class='op'>)</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'>sim_phylogeny</span>, main <span class='op'>=</span> <span class='st'>"phylogeny"</span><span class='op'>)</span></span>
<span class='r-plt'><img src='add_max_phylo_end_objective-1.png' alt='' width='700' height='433' /></span>
<span class='r-in'><span class='co'># }</span></span>
<span class='r-in'><span class='co'># create problem with a maximum phylogenetic endemism objective,</span></span>
<span class='r-in'><span class='co'># where each feature needs 10% of its distribution to be secured for</span></span>
<span class='r-in'><span class='co'># it to be adequately conserved and a total budget of 1900</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'>add_max_phylo_end_objective</span><span class='op'>(</span><span class='fl'>1900</span>, <span class='va'>sim_phylogeny</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 class='co'># \dontrun{</span></span>
<span class='r-in'><span class='co'># solve 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'># 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='add_max_phylo_end_objective-2.png' alt='' width='700' height='433' /></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># find out which features have their targets met</span></span>
<span class='r-in'><span class='va'>r1</span> <span class='op'><-</span> <span class='fu'><a href='eval_target_coverage_summary.html'>eval_target_coverage_summary</a></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>, width <span class='op'>=</span> <span class='cn'>Inf</span><span class='op'>)</span></span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #949494;'># A tibble: 5 × 9</span></span>
<span class='r-out co'><span class='r-pr'>#></span> feature met total_amount absolute_target absolute_held absolute_shortfall</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;'><lgl></span> <span style='color: #949494; font-style: italic;'><dbl></span> <span style='color: #949494; font-style: italic;'><dbl></span> <span style='color: #949494; font-style: italic;'><dbl></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> layer.1 FALSE 83.3 8.33 7.71 0.618</span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>2</span> layer.2 FALSE 31.2 3.12 2.35 0.775</span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>3</span> layer.3 FALSE 72.0 7.20 5.81 1.38 </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>4</span> layer.4 TRUE 42.7 4.27 4.28 0 </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>5</span> layer.5 TRUE 56.7 5.67 5.77 0 </span>
<span class='r-out co'><span class='r-pr'>#></span> relative_target relative_held relative_shortfall</span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #949494; font-style: italic;'><dbl></span> <span style='color: #949494; font-style: italic;'><dbl></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> 0.1 0.092<span style='text-decoration: underline;'>6</span> 0.007<span style='text-decoration: underline;'>42</span></span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>2</span> 0.1 0.075<span style='text-decoration: underline;'>2</span> 0.024<span style='text-decoration: underline;'>8</span> </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>3</span> 0.1 0.080<span style='text-decoration: underline;'>8</span> 0.019<span style='text-decoration: underline;'>2</span> </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>4</span> 0.1 0.100 0 </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>5</span> 0.1 0.102 0 </span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># plot the phylogeny and color the adequately represented features in red</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'>sim_phylogeny</span>, main <span class='op'>=</span> <span class='st'>"adequately represented features"</span>,</span>
<span class='r-in'> tip.color <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/replace.html'>replace</a></span><span class='op'>(</span></span>
<span class='r-in'> <span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span><span class='op'>(</span><span class='st'>"black"</span>, <span class='fu'><a href='https://rdrr.io/pkg/raster/man/nlayers.html'>nlayers</a></span><span class='op'>(</span><span class='va'>sim_features</span><span class='op'>)</span><span class='op'>)</span>,</span>
<span class='r-in'> <span class='va'>sim_phylogeny</span><span class='op'>$</span><span class='va'>tip.label</span> <span class='op'><a href='https://rdrr.io/pkg/raster/man/match.html'>%in%</a></span> <span class='va'>r1</span><span class='op'>$</span><span class='va'>feature</span><span class='op'>[</span><span class='va'>r1</span><span class='op'>$</span><span class='va'>met</span><span class='op'>]</span>,</span>
<span class='r-in'> <span class='st'>"red"</span><span class='op'>)</span><span class='op'>)</span></span>
<span class='r-plt'><img src='add_max_phylo_end_objective-3.png' alt='' width='700' height='433' /></span>
<span class='r-in'><span class='co'># }</span></span>
<span class='r-in'><span class='co'># rename the features in the example phylogeny for use with the</span></span>
<span class='r-in'><span class='co'># multi-zone data</span></span>
<span class='r-in'><span class='va'>sim_phylogeny</span><span class='op'>$</span><span class='va'>tip.label</span> <span class='op'><-</span> <span class='fu'><a href='feature_names.html'>feature_names</a></span><span class='op'>(</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'># create targets for a multi-zone problem. Here, each feature needs a total</span></span>
<span class='r-in'><span class='co'># of 10 units of habitat to be conserved among the three zones to be</span></span>
<span class='r-in'><span class='co'># considered adequately conserved</span></span>
<span class='r-in'><span class='va'>targets</span> <span class='op'><-</span> <span class='fu'>tibble</span><span class='fu'>::</span><span class='fu'><a href='https://tibble.tidyverse.org/reference/tibble.html'>tibble</a></span><span class='op'>(</span></span>
<span class='r-in'> feature <span class='op'>=</span> <span class='fu'><a href='feature_names.html'>feature_names</a></span><span class='op'>(</span><span class='va'>sim_features_zones</span><span class='op'>)</span>,</span>
<span class='r-in'> zone <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span><span class='fu'><a href='zone_names.html'>zone_names</a></span><span class='op'>(</span><span class='va'>sim_features_zones</span><span class='op'>)</span><span class='op'>)</span><span class='op'>[</span><span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span><span class='op'>(</span><span class='fl'>1</span>,</span>
<span class='r-in'> <span class='fu'><a href='number_of_features.html'>number_of_features</a></span><span class='op'>(</span><span class='va'>sim_features_zones</span><span class='op'>)</span><span class='op'>)</span><span class='op'>]</span>,</span>
<span class='r-in'> type <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span><span class='op'>(</span><span class='st'>"absolute"</span>, <span class='fu'><a href='number_of_features.html'>number_of_features</a></span><span class='op'>(</span><span class='va'>sim_features_zones</span><span class='op'>)</span><span class='op'>)</span>,</span>
<span class='r-in'> target <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span><span class='op'>(</span><span class='fl'>10</span>, <span class='fu'><a href='number_of_features.html'>number_of_features</a></span><span class='op'>(</span><span class='va'>sim_features_zones</span><span class='op'>)</span><span class='op'>)</span><span class='op'>)</span></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># create a multi-zone problem with a maximum phylogenetic endemism</span></span>
<span class='r-in'><span class='co'># objective, where the total expenditure in all zones is 5000.</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_zones_stack</span>, <span class='va'>sim_features_zones</span><span class='op'>)</span> <span class='op'><a href='pipe.html'>%>%</a></span></span>
<span class='r-in'> <span class='fu'>add_max_phylo_end_objective</span><span class='op'>(</span><span class='fl'>5000</span>, <span class='va'>sim_phylogeny</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_manual_targets.html'>add_manual_targets</a></span><span class='op'>(</span><span class='va'>targets</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 class='co'># \dontrun{</span></span>
<span class='r-in'><span class='co'># solve 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='fu'><a href='category_layer.html'>category_layer</a></span><span class='op'>(</span><span class='va'>s2</span><span class='op'>)</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='add_max_phylo_end_objective-4.png' alt='' width='700' height='433' /></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># find out which features have their targets met</span></span>
<span class='r-in'><span class='va'>r2</span> <span class='op'><-</span> <span class='fu'><a href='eval_target_coverage_summary.html'>eval_target_coverage_summary</a></span><span class='op'>(</span><span class='va'>p2</span>, <span class='va'>s2</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>, width <span class='op'>=</span> <span class='cn'>Inf</span><span class='op'>)</span></span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #949494;'># A tibble: 5 × 11</span></span>
<span class='r-out co'><span class='r-pr'>#></span> feature zone sense met total_amount absolute_target absolute_held</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;'><list></span> <span style='color: #949494; font-style: italic;'><chr></span> <span style='color: #949494; font-style: italic;'><lgl></span> <span style='color: #949494; font-style: italic;'><dbl></span> <span style='color: #949494; font-style: italic;'><dbl></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> feature_1 <span style='color: #949494;'><chr [3]></span> >= TRUE 250. 10 18.6 </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>2</span> feature_2 <span style='color: #949494;'><chr [3]></span> >= FALSE 93.6 10 6.59</span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>3</span> feature_3 <span style='color: #949494;'><chr [3]></span> >= TRUE 216. 10 15.2 </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>4</span> feature_4 <span style='color: #949494;'><chr [3]></span> >= TRUE 128. 10 10.0 </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>5</span> feature_5 <span style='color: #949494;'><chr [3]></span> >= TRUE 170. 10 13.1 </span>
<span class='r-out co'><span class='r-pr'>#></span> absolute_shortfall relative_target relative_held relative_shortfall</span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #949494; font-style: italic;'><dbl></span> <span style='color: #949494; font-style: italic;'><dbl></span> <span style='color: #949494; font-style: italic;'><dbl></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> 0 0.040<span style='text-decoration: underline;'>0</span> 0.074<span style='text-decoration: underline;'>5</span> 0 </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>2</span> 3.41 0.107 0.070<span style='text-decoration: underline;'>4</span> 0.036<span style='text-decoration: underline;'>4</span></span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>3</span> 0 0.046<span style='text-decoration: underline;'>3</span> 0.070<span style='text-decoration: underline;'>5</span> 0 </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>4</span> 0 0.078<span style='text-decoration: underline;'>1</span> 0.078<span style='text-decoration: underline;'>4</span> 0 </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>5</span> 0 0.058<span style='text-decoration: underline;'>8</span> 0.076<span style='text-decoration: underline;'>8</span> 0 </span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># plot the phylogeny and color the adequately represented features in red</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'>sim_phylogeny</span>, main <span class='op'>=</span> <span class='st'>"adequately represented features"</span>,</span>
<span class='r-in'> tip.color <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/replace.html'>replace</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span><span class='op'>(</span><span class='st'>"black"</span>, <span class='fu'><a href='https://rdrr.io/pkg/raster/man/nlayers.html'>nlayers</a></span><span class='op'>(</span><span class='va'>sim_features</span><span class='op'>)</span><span class='op'>)</span>,</span>
<span class='r-in'> <span class='fu'><a href='https://rdrr.io/r/base/which.html'>which</a></span><span class='op'>(</span><span class='va'>r2</span><span class='op'>$</span><span class='va'>met</span><span class='op'>)</span>, <span class='st'>"red"</span><span class='op'>)</span><span class='op'>)</span></span>
<span class='r-plt'><img src='add_max_phylo_end_objective-5.png' alt='' width='700' height='433' /></span>
<span class='r-in'><span class='co'># }</span></span>
<span class='r-in'><span class='co'># create a multi-zone problem with a maximum phylogenetic endemism</span></span>
<span class='r-in'><span class='co'># objective, where each zone has a separate budget.</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_stack</span>, <span class='va'>sim_features_zones</span><span class='op'>)</span> <span class='op'><a href='pipe.html'>%>%</a></span></span>
<span class='r-in'> <span class='fu'>add_max_phylo_end_objective</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='fl'>2500</span>, <span class='fl'>500</span>, <span class='fl'>2000</span><span class='op'>)</span>, <span class='va'>sim_phylogeny</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_manual_targets.html'>add_manual_targets</a></span><span class='op'>(</span><span class='va'>targets</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 class='co'># \dontrun{</span></span>
<span class='r-in'><span class='co'># solve 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'># 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='fu'><a href='category_layer.html'>category_layer</a></span><span class='op'>(</span><span class='va'>s3</span><span class='op'>)</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='add_max_phylo_end_objective-6.png' alt='' width='700' height='433' /></span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># find out which features have their targets met</span></span>
<span class='r-in'><span class='va'>r3</span> <span class='op'><-</span> <span class='fu'><a href='eval_target_coverage_summary.html'>eval_target_coverage_summary</a></span><span class='op'>(</span><span class='va'>p3</span>, <span class='va'>s3</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>, width <span class='op'>=</span> <span class='cn'>Inf</span><span class='op'>)</span></span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #949494;'># A tibble: 5 × 11</span></span>
<span class='r-out co'><span class='r-pr'>#></span> feature zone sense met total_amount absolute_target absolute_held</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;'><list></span> <span style='color: #949494; font-style: italic;'><chr></span> <span style='color: #949494; font-style: italic;'><lgl></span> <span style='color: #949494; font-style: italic;'><dbl></span> <span style='color: #949494; font-style: italic;'><dbl></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> feature_1 <span style='color: #949494;'><chr [3]></span> >= TRUE 250. 10 15.7 </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>2</span> feature_2 <span style='color: #949494;'><chr [3]></span> >= FALSE 93.6 10 5.73</span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>3</span> feature_3 <span style='color: #949494;'><chr [3]></span> >= TRUE 216. 10 12.1 </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>4</span> feature_4 <span style='color: #949494;'><chr [3]></span> >= TRUE 128. 10 10.0 </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>5</span> feature_5 <span style='color: #949494;'><chr [3]></span> >= TRUE 170. 10 11.3 </span>
<span class='r-out co'><span class='r-pr'>#></span> absolute_shortfall relative_target relative_held relative_shortfall</span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #949494; font-style: italic;'><dbl></span> <span style='color: #949494; font-style: italic;'><dbl></span> <span style='color: #949494; font-style: italic;'><dbl></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> 0 0.040<span style='text-decoration: underline;'>0</span> 0.062<span style='text-decoration: underline;'>8</span> 0 </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>2</span> 4.27 0.107 0.061<span style='text-decoration: underline;'>2</span> 0.045<span style='text-decoration: underline;'>6</span></span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>3</span> 0 0.046<span style='text-decoration: underline;'>3</span> 0.056<span style='text-decoration: underline;'>3</span> 0 </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>4</span> 0 0.078<span style='text-decoration: underline;'>1</span> 0.078<span style='text-decoration: underline;'>1</span> 0 </span>
<span class='r-out co'><span class='r-pr'>#></span> <span style='color: #BCBCBC;'>5</span> 0 0.058<span style='text-decoration: underline;'>8</span> 0.066<span style='text-decoration: underline;'>7</span> 0 </span>
<span class='r-in'></span>
<span class='r-in'><span class='co'># plot the phylogeny and color the adequately represented features in red</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'>sim_phylogeny</span>, main <span class='op'>=</span> <span class='st'>"adequately represented features"</span>,</span>
<span class='r-in'> tip.color <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/replace.html'>replace</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span><span class='op'>(</span><span class='st'>"black"</span>, <span class='fu'><a href='https://rdrr.io/pkg/raster/man/nlayers.html'>nlayers</a></span><span class='op'>(</span><span class='va'>sim_features</span><span class='op'>)</span><span class='op'>)</span>,</span>
<span class='r-in'> <span class='fu'><a href='https://rdrr.io/r/base/which.html'>which</a></span><span class='op'>(</span><span class='va'>r3</span><span class='op'>$</span><span class='va'>met</span><span class='op'>)</span>, <span class='st'>"red"</span><span class='op'>)</span><span class='op'>)</span></span>
<span class='r-plt'><img src='add_max_phylo_end_objective-7.png' alt='' width='700' height='433' /></span>
<span class='r-in'><span class='co'># }</span></span>
</code></pre></div>
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