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prioritizr.html
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prioritizr.html
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<body>
<h1 class="title toc-ignore">Getting started</h1>
<div id="TOC">
<ul>
<li><a href="#introduction">Introduction</a></li>
<li><a href="#data">Data</a></li>
<li><a href="#problem-formulation">Problem formulation</a></li>
<li><a href="#prioritization">Prioritization</a></li>
<li><a href="#feature-representation">Feature representation</a></li>
<li><a href="#irreplaceability">Irreplaceability</a></li>
<li><a href="#portfolios">Portfolios</a></li>
<li><a href="#marxan-compatibility"><em>Marxan</em> compatibility</a></li>
<li><a href="#conclusion">Conclusion</a></li>
<li><a href="#references">References</a></li>
</ul>
</div>
<div id="introduction" class="section level2">
<h2>Introduction</h2>
<p>The aim of this tutorial is to provide a short introduction to the <em>prioritizr R</em> package. It is also intended to help conservation planners familiar the <em>Marxan</em> decision support tool <span class="citation">(Ball <em>et al.</em> 2009)</span> start using the package for their work.</p>
</div>
<div id="data" class="section level2">
<h2>Data</h2>
<p>Let’s load the packages and data used in this tutorial. Since this tutorial uses data from the <em>prioritizrdata R</em> package, please ensure that it is installed. The data used in this tutorial were obtained from the <em>Introduction to Marxan</em> course. Specifically, the data were originally a subset of a larger spatial prioritization project performed under contract to Australia’s Department of Environment and Water Resources <span class="citation">(Klein <em>et al.</em> 2007)</span>.</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="co"># load packages</span></span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(prioritizrdata)</span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(prioritizr)</span>
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(sf)</span>
<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(raster)</span>
<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(vegan)</span>
<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(cluster)</span>
<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a><span class="co"># load planning unit data</span></span>
<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a><span class="fu">data</span>(tas_pu)</span>
<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a><span class="co"># load feature data</span></span>
<span id="cb1-13"><a href="#cb1-13" aria-hidden="true" tabindex="-1"></a><span class="fu">data</span>(tas_features)</span></code></pre></div>
<p>The <code>tas_pu</code> object contains planning units represented as spatial polygons (i.e., a <code>SpatialPolygonsDataFrame</code> object). This object has three columns that denote the following information for each planning unit: a unique identifier (<code>id</code>), unimproved land value (<code>cost</code>), and current conservation status (<code>locked_in</code>). Planning units that have at least half of their area overlapping with existing protected areas are denoted with a locked in value of 1, otherwise they are denoted with a value of 0. If you are familiar with the <em>Marxan</em> decision support tool, then you will notice that some of these columns are formatted similar conventions.</p>
<p>Now, let’s have a look at the planning unit data. We can see that the planning units correspond to hexagonal land parcels. We can also see that is a clear spatial pattern in the cost and conservation status the planning units.</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="co"># print planning unit data</span></span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(tas_pu)</span></code></pre></div>
<pre><code>## class : SpatialPolygonsDataFrame
## features : 1130
## extent : 298809.6, 613818.8, 5167775, 5502544 (xmin, xmax, ymin, ymax)
## crs : +proj=utm +zone=55 +south +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0
## variables : 5
## names : id, cost, status, locked_in, locked_out
## min values : 1, 0.192488262910798, 0, 0, 0
## max values : 1130, 61.9272727272727, 2, 1, 0</code></pre>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="co"># plot map of planning unit costs</span></span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a><span class="fu">plot</span>(<span class="fu">st_as_sf</span>(tas_pu[, <span class="st">"cost"</span>]), <span class="at">main =</span> <span class="st">"Planning unit costs"</span>)</span></code></pre></div>
<p><img 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" style="display: block; margin: auto;" /></p>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="co"># plot map of planning unit coverage by protected areas</span></span>
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a><span class="fu">plot</span>(<span class="fu">st_as_sf</span>(tas_pu[, <span class="st">"locked_in"</span>]), <span class="at">main =</span> <span class="st">"Protected area coverage"</span>)</span></code></pre></div>
<p><img 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" style="display: block; margin: auto;" /></p>
<p>The <code>tas_features</code> object describes the spatial distribution of the features. Specifically, the feature data are expressed as a stack of 62 rasters (i.e., a <code>RasterStack</code> object). Each layer in the stack corresponds to one of 62 different vegetation communities. To describe the spatial distribution of a given vegetation community, each layer contains a spatially referenced grid of rectangular cells and each of these grid cells is associated with information on the distribution of the a given vegetation community. Specifically, these grid cells are assigned values that indicate if a given vegetation community is present (using value of 1) or absent (using value of 0) within the spatial extent of each grid cell.</p>
<p>Next, let’s examine the feature data. Here we will only plot the first four features as an example. The pixel values denote the presence (denoted by a value of 1) or absence (denoted by a value of zero) of each feature within the extent of the study area.</p>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="co"># print planning unit data</span></span>
<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(tas_features)</span></code></pre></div>
<pre><code>## class : RasterStack
## dimensions : 398, 359, 142882, 62 (nrow, ncol, ncell, nlayers)
## resolution : 1000, 1000 (x, y)
## extent : 288801.7, 647801.7, 5142976, 5540976 (xmin, xmax, ymin, ymax)
## crs : +proj=utm +zone=55 +south +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0
## names : tas_features.1, tas_features.2, tas_features.3, tas_features.4, tas_features.5, tas_features.6, tas_features.7, tas_features.8, tas_features.9, tas_features.10, tas_features.11, tas_features.12, tas_features.13, tas_features.14, tas_features.15, ...
## min values : 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
## max values : 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...</code></pre>
<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a><span class="co"># plot map of the first four vegetation classes</span></span>
<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a><span class="fu">plot</span>(tas_features[[<span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>]], <span class="at">main =</span> <span class="fu">paste</span>(<span class="st">"Feature"</span>, <span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>))</span></code></pre></div>
<p><img 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" style="display: block; margin: auto;" /></p>
<p>The planning units in this tutorial are stored as spatial polygons. Although spatial polygons provide considerable flexibility in the shape and size of the planning units, such flexibility comes at a cost. This is because the spatial data processing routines needed to combine spatial polygon data and raster data for optimization can be very computationally expensive (e.g., calculating zonal statistics). As a consequence, we generally recommend using raster-based planning unit data where possible to reduce processing time. Another strategy is to complete spatial data processing routines manually using other software (e.g., <em>ESRI ArcGIS</em>) and use the pre-processed data directly with the <em>prioritizr R</em> package.</p>
</div>
<div id="problem-formulation" class="section level2">
<h2>Problem formulation</h2>
<p>Now we will formulate a conservation planing problem. To achieve this, we first specify which objects contain the planning unit and feature data (using the <code>problem()</code> function). Next, we specify that we want to use the minimum set objective function (using the <code>add_min_set_objective()</code> function). This objective function indicates that we wish to minimize the total cost of planning units selected by the prioritization. We then specify boundary penalties reduce spatial fragmentation in the resulting prioritization (using the <code>add_boundary_penalties()</code> function; see the <a href="calibrating_trade-offs_tutorial.html"><em>Calibrating trade-offs</em> vignette</a> for details on calibrating the penalty value). We also specify representation targets to ensure the resulting prioritization provides adequate coverage of each vegetation community (using the <code>add_relative_targets()</code> function). Specifically, we specify targets to ensure at least 17% of the spatial extent of each vegetation community (based on the <a href="https://www.cbd.int/sp/targets/">Aichi Target 11</a>). Additionally, we set constraints to ensure that planning units predominately covered by existing protected areas are selected by the prioritization (using the <code>add_locked_in_constraints()</code> function). Finally, we specify that the prioritization should either select – or not select – planning units for prioritization (using the <code>add_binary_decisions()</code> function).</p>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a><span class="co"># build problem</span></span>
<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a>p1 <span class="ot"><-</span> <span class="fu">problem</span>(tas_pu, tas_features, <span class="at">cost_column =</span> <span class="st">"cost"</span>) <span class="sc">%>%</span></span>
<span id="cb9-3"><a href="#cb9-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">add_min_set_objective</span>() <span class="sc">%>%</span></span>
<span id="cb9-4"><a href="#cb9-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">add_boundary_penalties</span>(<span class="at">penalty =</span> <span class="fl">0.005</span>) <span class="sc">%>%</span></span>
<span id="cb9-5"><a href="#cb9-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">add_relative_targets</span>(<span class="fl">0.17</span>) <span class="sc">%>%</span></span>
<span id="cb9-6"><a href="#cb9-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">add_locked_in_constraints</span>(<span class="st">"locked_in"</span>) <span class="sc">%>%</span></span>
<span id="cb9-7"><a href="#cb9-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">add_binary_decisions</span>()</span>
<span id="cb9-8"><a href="#cb9-8" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-9"><a href="#cb9-9" aria-hidden="true" tabindex="-1"></a><span class="co"># print the problem</span></span>
<span id="cb9-10"><a href="#cb9-10" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(p1)</span></code></pre></div>
<pre><code>## Conservation Problem
## planning units: SpatialPolygonsDataFrame (1130 units)
## cost: min: 0.19249, max: 61.92727
## features: tas_features.1, tas_features.2, tas_features.3, ... (62 features)
## objective: Minimum set objective
## targets: Relative targets [targets (min: 0.17, max: 0.17)]
## decisions: Binary decision
## constraints: <Locked in planning units [257 locked units]>
## penalties: <Boundary penalties [edge factor (min: 0.5, max: 0.5), penalty (0.005), zones]>
## portfolio: default
## solver: default</code></pre>
</div>
<div id="prioritization" class="section level2">
<h2>Prioritization</h2>
<p>We can now solve the problem formulation (<code>p1</code>) to generate a prioritization (using the <code>solve()</code> function). The <em>prioritizr</em> R package supports a range of different exact algorithm solvers, including <em>Gurobi</em>, <em>IBM CPLEX</em>, <em>CBC</em>, <em>HiGHS</em>, <em>Rsymphony</em>, and <em>lpsymphony</em>. Although there are benefits and limitations associated with each of these different solvers, they should return similar results. Note that you will need at least one solver installed on your system to generate prioritizations. Since we did not specify a solver when building the problem, the <em>prioritizr R</em> package will automatically select the best available solver installed. We recommend using the <em>Gurobi</em> solver if possible, and have used it for this tutorial (see the <em>Gurobi Installation Guide</em> vignette for installation instructions). After solving the problem, the prioritization will be stored in the <code>solution_1</code> column of the <code>s1</code> object.</p>
<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a><span class="co"># solve problem</span></span>
<span id="cb11-2"><a href="#cb11-2" aria-hidden="true" tabindex="-1"></a>s1 <span class="ot"><-</span> <span class="fu">solve</span>(p1)</span></code></pre></div>
<pre><code>## Gurobi Optimizer version 9.5.2 build v9.5.2rc0 (linux64)
## Thread count: 4 physical cores, 8 logical processors, using up to 1 threads
## Optimize a model with 6358 rows, 4278 columns and 14496 nonzeros
## Model fingerprint: 0x861c9b00
## Variable types: 0 continuous, 4278 integer (4278 binary)
## Coefficient statistics:
## Matrix range [2e-06, 4e+01]
## Objective range [5e-01, 2e+02]
## Bounds range [1e+00, 1e+00]
## RHS range [1e-01, 1e+02]
## Found heuristic solution: objective 36805.575211
## Found heuristic solution: objective 27817.085072
## Presolve removed 2077 rows and 1375 columns
## Presolve time: 0.13s
## Presolved: 4281 rows, 2903 columns, 9594 nonzeros
## Found heuristic solution: objective 24454.499456
## Variable types: 0 continuous, 2903 integer (2903 binary)
## Found heuristic solution: objective 23413.987477
## Root relaxation presolved: 4281 rows, 2903 columns, 9594 nonzeros
##
##
## Root relaxation: objective 1.955605e+04, 1793 iterations, 0.32 seconds (0.19 work units)
##
## Nodes | Current Node | Objective Bounds | Work
## Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
##
## 0 0 19556.0531 0 1615 23413.9875 19556.0531 16.5% - 0s
## H 0 0 23045.733138 19556.0531 15.1% - 0s
## H 0 0 22977.771015 19556.0531 14.9% - 0s
## 0 0 19836.0586 0 1855 22977.7710 19836.0586 13.7% - 0s
## H 0 0 21702.297403 19836.0586 8.60% - 1s
##
## Cutting planes:
## Gomory: 2
## Cover: 5
## MIR: 4
## GUB cover: 1
## Zero half: 2
## RLT: 10
##
## Explored 1 nodes (2393 simplex iterations) in 1.01 seconds (0.60 work units)
## Thread count was 1 (of 8 available processors)
##
## Solution count 7: 21702.3 22977.8 23045.7 ... 36805.6
##
## Optimal solution found (tolerance 1.00e-01)
## Best objective 2.170229740250e+04, best bound 1.983605855899e+04, gap 8.5993%</code></pre>
<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb13-1"><a href="#cb13-1" aria-hidden="true" tabindex="-1"></a><span class="co"># plot map of prioritization</span></span>
<span id="cb13-2"><a href="#cb13-2" aria-hidden="true" tabindex="-1"></a><span class="fu">plot</span>(<span class="fu">st_as_sf</span>(s1[, <span class="st">"solution_1"</span>]), <span class="at">main =</span> <span class="st">"Prioritization"</span>,</span>
<span id="cb13-3"><a href="#cb13-3" aria-hidden="true" tabindex="-1"></a> <span class="at">pal =</span> <span class="fu">c</span>(<span class="st">"grey90"</span>, <span class="st">"darkgreen"</span>))</span></code></pre></div>
<p><img src="data:image/png;base64,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" style="display: block; margin: auto;" /></p>
</div>
<div id="feature-representation" class="section level2">
<h2>Feature representation</h2>
<p>Let’s examine how well the vegetation communities are represented by existing protected areas and the prioritization.</p>
<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb14-1"><a href="#cb14-1" aria-hidden="true" tabindex="-1"></a><span class="co"># create column with existing protected areas</span></span>
<span id="cb14-2"><a href="#cb14-2" aria-hidden="true" tabindex="-1"></a>tas_pu<span class="sc">$</span>pa <span class="ot"><-</span> <span class="fu">round</span>(tas_pu<span class="sc">$</span>locked_in)</span>
<span id="cb14-3"><a href="#cb14-3" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb14-4"><a href="#cb14-4" aria-hidden="true" tabindex="-1"></a><span class="co"># calculate feature representation statistics based on existing protected areas</span></span>
<span id="cb14-5"><a href="#cb14-5" aria-hidden="true" tabindex="-1"></a>tc_pa <span class="ot"><-</span> <span class="fu">eval_target_coverage_summary</span>(p1, tas_pu[, <span class="st">"pa"</span>])</span>
<span id="cb14-6"><a href="#cb14-6" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(tc_pa)</span></code></pre></div>
<pre><code>## # A tibble: 62 × 9
## feature met total_amount absolute_target absolute_held
## <chr> <lgl> <dbl> <dbl> <dbl>
## 1 tas_features.1 FALSE 33.9 5.77 0.556
## 2 tas_features.2 FALSE 170. 28.9 13.5
## 3 tas_features.3 FALSE 24.0 4.08 2.00
## 4 tas_features.4 FALSE 32.8 5.57 1.37
## 5 tas_features.5 FALSE 24.8 4.21 0
## 6 tas_features.6 FALSE 22.0 3.74 0
## 7 tas_features.7 FALSE 16.4 2.78 0
## 8 tas_features.8 FALSE 43.0 7.31 5.12
## 9 tas_features.9 FALSE 388. 66.0 22.4
## 10 tas_features.10 FALSE 14.5 2.47 0
## absolute_shortfall relative_target relative_held relative_shortfall
## <dbl> <dbl> <dbl> <dbl>
## 1 5.21 0.17 0.0164 0.154
## 2 15.4 0.17 0.0796 0.0904
## 3 2.08 0.17 0.0832 0.0868
## 4 4.19 0.17 0.0420 0.128
## 5 4.21 0.17 0 0.17
## 6 3.74 0.17 0 0.17
## 7 2.78 0.17 0 0.17
## 8 2.19 0.17 0.119 0.0510
## 9 43.5 0.17 0.0578 0.112
## 10 2.47 0.17 0 0.17
## # … with 52 more rows</code></pre>
<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb16-1"><a href="#cb16-1" aria-hidden="true" tabindex="-1"></a><span class="co"># calculate feature representation statistics based on the prioritization</span></span>
<span id="cb16-2"><a href="#cb16-2" aria-hidden="true" tabindex="-1"></a>tc_s1 <span class="ot"><-</span> <span class="fu">eval_target_coverage_summary</span>(p1, s1[, <span class="st">"solution_1"</span>])</span>
<span id="cb16-3"><a href="#cb16-3" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(tc_s1)</span></code></pre></div>
<pre><code>## # A tibble: 62 × 9
## feature met total_amount absolute_target absolute_held
## <chr> <lgl> <dbl> <dbl> <dbl>
## 1 tas_features.1 TRUE 33.9 5.77 5.97
## 2 tas_features.2 TRUE 170. 28.9 43.8
## 3 tas_features.3 TRUE 24.0 4.08 4.25
## 4 tas_features.4 TRUE 32.8 5.57 6.37
## 5 tas_features.5 TRUE 24.8 4.21 4.98
## 6 tas_features.6 TRUE 22.0 3.74 7.00
## 7 tas_features.7 TRUE 16.4 2.78 3.00
## 8 tas_features.8 TRUE 43.0 7.31 8.12
## 9 tas_features.9 TRUE 388. 66.0 70.8
## 10 tas_features.10 TRUE 14.5 2.47 2.91
## absolute_shortfall relative_target relative_held relative_shortfall
## <dbl> <dbl> <dbl> <dbl>
## 1 0 0.17 0.176 0
## 2 0 0.17 0.258 0
## 3 0 0.17 0.177 0
## 4 0 0.17 0.195 0
## 5 0 0.17 0.201 0
## 6 0 0.17 0.318 0
## 7 0 0.17 0.183 0
## 8 0 0.17 0.189 0
## 9 0 0.17 0.182 0
## 10 0 0.17 0.200 0
## # … with 52 more rows</code></pre>
<div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb18-1"><a href="#cb18-1" aria-hidden="true" tabindex="-1"></a><span class="co"># explore representation by existing protected areas</span></span>
<span id="cb18-2"><a href="#cb18-2" aria-hidden="true" tabindex="-1"></a><span class="do">## calculate number of features adequately represented by existing protected</span></span>
<span id="cb18-3"><a href="#cb18-3" aria-hidden="true" tabindex="-1"></a><span class="do">## areas</span></span>
<span id="cb18-4"><a href="#cb18-4" aria-hidden="true" tabindex="-1"></a><span class="fu">sum</span>(tc_pa<span class="sc">$</span>met)</span></code></pre></div>
<pre><code>## [1] 16</code></pre>
<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb20-1"><a href="#cb20-1" aria-hidden="true" tabindex="-1"></a><span class="do">## summarize representation (values show percent coverage)</span></span>
<span id="cb20-2"><a href="#cb20-2" aria-hidden="true" tabindex="-1"></a><span class="fu">summary</span>(tc_pa<span class="sc">$</span>relative_held <span class="sc">*</span> <span class="dv">100</span>)</span></code></pre></div>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.000 0.000 4.845 13.909 16.995 58.488</code></pre>
<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb22-1"><a href="#cb22-1" aria-hidden="true" tabindex="-1"></a><span class="do">## visualize representation (values show percent coverage)</span></span>
<span id="cb22-2"><a href="#cb22-2" aria-hidden="true" tabindex="-1"></a><span class="fu">hist</span>(tc_pa<span class="sc">$</span>relative_held <span class="sc">*</span> <span class="dv">100</span>,</span>
<span id="cb22-3"><a href="#cb22-3" aria-hidden="true" tabindex="-1"></a> <span class="at">main =</span> <span class="st">"Feature representation by existing protected areas"</span>,</span>
<span id="cb22-4"><a href="#cb22-4" aria-hidden="true" tabindex="-1"></a> <span class="at">xlim =</span> <span class="fu">c</span>(<span class="dv">0</span>, <span class="dv">100</span>),</span>
<span id="cb22-5"><a href="#cb22-5" aria-hidden="true" tabindex="-1"></a> <span class="at">xlab =</span> <span class="st">"Percent coverage of features (%)"</span>)</span></code></pre></div>
<p><img 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" style="display: block; margin: auto;" /></p>
<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb23-1"><a href="#cb23-1" aria-hidden="true" tabindex="-1"></a><span class="co"># explore representation by prioritization</span></span>
<span id="cb23-2"><a href="#cb23-2" aria-hidden="true" tabindex="-1"></a><span class="do">## summarize representation (values show percent coverage)</span></span>
<span id="cb23-3"><a href="#cb23-3" aria-hidden="true" tabindex="-1"></a><span class="fu">summary</span>(tc_s1<span class="sc">$</span>relative_held <span class="sc">*</span> <span class="dv">100</span>)</span></code></pre></div>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 17.14 20.18 25.56 33.83 43.19 100.00</code></pre>
<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb25-1"><a href="#cb25-1" aria-hidden="true" tabindex="-1"></a><span class="do">## calculate number of features adequately represented by the prioritization</span></span>
<span id="cb25-2"><a href="#cb25-2" aria-hidden="true" tabindex="-1"></a><span class="fu">sum</span>(tc_s1<span class="sc">$</span>met)</span></code></pre></div>
<pre><code>## [1] 62</code></pre>
<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb27-1"><a href="#cb27-1" aria-hidden="true" tabindex="-1"></a><span class="do">## visualize representation (values show percent coverage)</span></span>
<span id="cb27-2"><a href="#cb27-2" aria-hidden="true" tabindex="-1"></a><span class="fu">hist</span>(tc_s1<span class="sc">$</span>relative_held <span class="sc">*</span> <span class="dv">100</span>,</span>
<span id="cb27-3"><a href="#cb27-3" aria-hidden="true" tabindex="-1"></a> <span class="at">main =</span> <span class="st">"Feature representation by prioritization"</span>,</span>
<span id="cb27-4"><a href="#cb27-4" aria-hidden="true" tabindex="-1"></a> <span class="at">xlim =</span> <span class="fu">c</span>(<span class="dv">0</span>, <span class="dv">100</span>),</span>
<span id="cb27-5"><a href="#cb27-5" aria-hidden="true" tabindex="-1"></a> <span class="at">xlab =</span> <span class="st">"Percent coverage of features (%)"</span>)</span></code></pre></div>
<p><img 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" style="display: block; margin: auto;" /></p>
<p>We can see that representation of the vegetation communities by existing protected areas is remarkably poor. For example, many of the vegetation communities have nearly zero coverage by existing protected areas. In other words, are almost entirely absent from existing protected areas. We can also see that all vegetation communities have at least 17% coverage by the prioritization – meaning that it meets the representation targets for all of the features.</p>
</div>
<div id="irreplaceability" class="section level2">
<h2>Irreplaceability</h2>
<p>After generating the prioritization, we can examine the relative importance of planning units selected by the prioritization. This can be useful to identify critically important planning units for conservation – in other words, places that contain biodiversity features which cannot be represented anywhere else – and schedule implementation of the prioritization. To achieve this, we will use the Ferrier metric <span class="citation">(Ferrier <em>et al.</em> 2000)</span>.</p>
<div class="sourceCode" id="cb28"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb28-1"><a href="#cb28-1" aria-hidden="true" tabindex="-1"></a><span class="co"># calculate irreplaceability</span></span>
<span id="cb28-2"><a href="#cb28-2" aria-hidden="true" tabindex="-1"></a>irrep_s1 <span class="ot"><-</span> <span class="fu">eval_ferrier_importance</span>(p1, s1[<span class="st">"solution_1"</span>])</span>
<span id="cb28-3"><a href="#cb28-3" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(irrep_s1)</span></code></pre></div>
<pre><code>## class : SpatialPolygonsDataFrame
## features : 1130
## extent : 298809.6, 613818.8, 5167775, 5502544 (xmin, xmax, ymin, ymax)
## crs : +proj=utm +zone=55 +south +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0
## variables : 63
## names : tas_features.1, tas_features.2, tas_features.3, tas_features.4, tas_features.5, tas_features.6, tas_features.7, tas_features.8, tas_features.9, tas_features.10, tas_features.11, tas_features.12, tas_features.13, tas_features.14, tas_features.15, ...
## min values : 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
## max values : 0.00701698358267939, 0.0066775439067078, 0.00248592654648536, 0.00594796984735507, 0.00219848915242862, 0.221777713215686, 0.00352460472775105, 0.00362070014565918, 0.00736044135306282, 0.00691379490000091, 0.225419698234888, 0.00465456428213494, 0.0025318990590772, 0.010045386228309, 0.00609443943530227, ...</code></pre>
<div class="sourceCode" id="cb30"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb30-1"><a href="#cb30-1" aria-hidden="true" tabindex="-1"></a><span class="co"># manually coerce values for planning units not selected in prioritization</span></span>
<span id="cb30-2"><a href="#cb30-2" aria-hidden="true" tabindex="-1"></a><span class="co"># to NA, so that they are shown in white</span></span>
<span id="cb30-3"><a href="#cb30-3" aria-hidden="true" tabindex="-1"></a>irrep_s1<span class="sc">$</span>plot_total <span class="ot"><-</span> irrep_s1<span class="sc">$</span>total</span>
<span id="cb30-4"><a href="#cb30-4" aria-hidden="true" tabindex="-1"></a>irrep_s1<span class="sc">$</span>plot_total[s1<span class="sc">$</span>solution_1 <span class="sc"><</span> <span class="fl">0.5</span>] <span class="ot"><-</span> <span class="cn">NA_real_</span></span>
<span id="cb30-5"><a href="#cb30-5" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb30-6"><a href="#cb30-6" aria-hidden="true" tabindex="-1"></a><span class="co"># plot map of overall importance scores</span></span>
<span id="cb30-7"><a href="#cb30-7" aria-hidden="true" tabindex="-1"></a><span class="fu">plot</span>(<span class="fu">st_as_sf</span>(irrep_s1[, <span class="st">"plot_total"</span>]), <span class="at">main =</span> <span class="st">"Overall importance"</span>)</span></code></pre></div>
<p><img 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" style="display: block; margin: auto;" /></p>
</div>
<div id="portfolios" class="section level2">
<h2>Portfolios</h2>
<p>Conservation planning exercises often involve generating multiple different prioritizations. This can help decision makers consider different options, and provide starting points for building consensus among stakeholders. To generate a range of different prioritizations given the same problem formulation, we can use portfolio functions. Here we will use the gap portfolio to generate 1000 solutions that are within 30% of optimality. Please note that you will need to have the <em>Gurobi</em> solver installed to use this specific portfolio. If you don’t have access to <em>Gurobi</em>, you could try using the shuffle portfolio instead (using the <code>add_shuffle_portfolio()</code> function).</p>
<div class="sourceCode" id="cb31"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb31-1"><a href="#cb31-1" aria-hidden="true" tabindex="-1"></a><span class="co"># create new problem with a portfolio added to it</span></span>
<span id="cb31-2"><a href="#cb31-2" aria-hidden="true" tabindex="-1"></a>p2 <span class="ot"><-</span> p1 <span class="sc">%>%</span></span>
<span id="cb31-3"><a href="#cb31-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">add_gap_portfolio</span>(<span class="at">number_solutions =</span> <span class="dv">1000</span>, <span class="at">pool_gap =</span> <span class="fl">0.2</span>)</span>
<span id="cb31-4"><a href="#cb31-4" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb31-5"><a href="#cb31-5" aria-hidden="true" tabindex="-1"></a><span class="co"># print problem</span></span>
<span id="cb31-6"><a href="#cb31-6" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(p2)</span></code></pre></div>
<pre><code>## Conservation Problem
## planning units: SpatialPolygonsDataFrame (1130 units)
## cost: min: 0.19249, max: 61.92727
## features: tas_features.1, tas_features.2, tas_features.3, ... (62 features)
## objective: Minimum set objective
## targets: Relative targets [targets (min: 0.17, max: 0.17)]
## decisions: Binary decision
## constraints: <Locked in planning units [257 locked units]>
## penalties: <Boundary penalties [edge factor (min: 0.5, max: 0.5), penalty (0.005), zones]>
## portfolio: Gap portfolio [number_solutions (1000), pool_gap (0.2)]
## solver: default</code></pre>
<div class="sourceCode" id="cb33"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb33-1"><a href="#cb33-1" aria-hidden="true" tabindex="-1"></a><span class="co"># generate prioritizations</span></span>
<span id="cb33-2"><a href="#cb33-2" aria-hidden="true" tabindex="-1"></a>prt <span class="ot"><-</span> <span class="fu">solve</span>(p2)</span></code></pre></div>
<pre><code>## Gurobi Optimizer version 9.5.2 build v9.5.2rc0 (linux64)
## Thread count: 4 physical cores, 8 logical processors, using up to 1 threads
## Optimize a model with 6358 rows, 4278 columns and 14496 nonzeros
## Model fingerprint: 0x861c9b00
## Variable types: 0 continuous, 4278 integer (4278 binary)
## Coefficient statistics:
## Matrix range [2e-06, 4e+01]
## Objective range [5e-01, 2e+02]
## Bounds range [1e+00, 1e+00]
## RHS range [1e-01, 1e+02]
## Found heuristic solution: objective 36805.575211
## Found heuristic solution: objective 27817.085072
## Presolve removed 1434 rows and 258 columns
## Presolve time: 0.04s
## Presolved: 4924 rows, 4020 columns, 10889 nonzeros
## Variable types: 0 continuous, 4020 integer (4020 binary)
## Found heuristic solution: objective 27660.082384
## Root relaxation presolved: 4924 rows, 4020 columns, 10889 nonzeros
##
##
## Root relaxation: objective 1.954728e+04, 1905 iterations, 0.24 seconds (0.18 work units)
##
## Nodes | Current Node | Objective Bounds | Work
## Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
##
## 0 0 19547.2818 0 1731 27660.0824 19547.2818 29.3% - 0s
## H 0 0 26145.941445 19547.2818 25.2% - 0s
## H 0 0 24520.062189 19547.2818 20.3% - 0s
## 0 0 19820.3758 0 1966 24520.0622 19820.3758 19.2% - 0s
## H 0 0 24498.644854 19820.3758 19.1% - 0s
## H 0 0 23263.485453 19820.3758 14.8% - 0s
## H 0 0 22049.956515 19820.3758 10.1% - 1s
## 0 0 19847.8388 0 1956 22049.9565 19847.8388 10.0% - 1s
## 0 0 19854.3259 0 1960 22049.9565 19854.3259 10.0% - 1s
## 0 0 19854.3439 0 1958 22049.9565 19854.3439 10.0% - 1s
## 0 0 19924.6889 0 1682 22049.9565 19924.6889 9.64% - 1s
## 0 0 19936.2410 0 1978 22049.9565 19936.2410 9.59% - 1s
## 0 0 19937.4882 0 2005 22049.9565 19937.4882 9.58% - 1s
## 0 0 19937.6761 0 2005 22049.9565 19937.6761 9.58% - 1s
## 0 0 19968.7333 0 1691 22049.9565 19968.7333 9.44% - 1s
## 0 0 19970.0998 0 1714 22049.9565 19970.0998 9.43% - 1s
## 0 0 19970.4702 0 1714 22049.9565 19970.4702 9.43% - 1s
## 0 0 19983.7957 0 1748 22049.9565 19983.7957 9.37% - 2s
## 0 0 19984.9623 0 1754 22049.9565 19984.9623 9.37% - 2s
## 0 0 19985.0928 0 1754 22049.9565 19985.0928 9.36% - 2s
## 0 0 19990.8490 0 2040 22049.9565 19990.8490 9.34% - 2s
## 0 0 19991.1771 0 2041 22049.9565 19991.1771 9.34% - 2s
## 0 0 19991.9721 0 2039 22049.9565 19991.9721 9.33% - 2s
## 0 0 19992.1795 0 2040 22049.9565 19992.1795 9.33% - 2s
## 0 0 19995.3797 0 1784 22049.9565 19995.3797 9.32% - 2s
## 0 0 19995.3847 0 1788 22049.9565 19995.3847 9.32% - 2s
## 0 0 19995.5716 0 2038 22049.9565 19995.5716 9.32% - 2s
## 0 0 19995.8374 0 2037 22049.9565 19995.8374 9.32% - 2s
## 0 0 19996.1519 0 2039 22049.9565 19996.1519 9.31% - 2s
## 0 0 19996.1519 0 2039 22049.9565 19996.1519 9.31% - 2s
## 0 2 19996.6237 0 2039 22049.9565 19996.6237 9.31% - 3s
## H 27 27 21471.431466 19996.6237 6.87% 117 4s
## H 52 52 21371.814002 19996.6237 6.43% 115 4s
## H 54 54 21254.060213 19996.6237 5.92% 117 5s
## H 108 108 21204.105802 19996.6237 5.69% 123 7s
## H 162 162 21202.636805 19996.6237 5.69% 104 7s
## H 286 286 21166.904542 19996.6237 5.53% 69.2 8s
## H 606 599 20993.604430 19996.6237 4.75% 32.8 11s
## 622 9 20993.6044 226 2029 20993.6044 20004.8874 4.71% 32.0 15s
## 632 14 20133.3528 14 1965 20993.6044 20028.1611 4.60% 31.5 20s
## 644 3 20993.6044 73 1683 20993.6044 20028.7300 4.60% 38.0 25s
## 656 9 20993.6044 406 1965 20993.6044 20030.5149 4.59% 37.3 30s
## 670 13 20044.6016 23 1961 20993.6044 20033.2235 4.57% 43.2 35s
## 696 29 20424.6657 36 1535 20993.6044 20082.6816 4.34% 52.3 40s
## H 739 70 20939.026645 20082.6816 4.09% 60.1 44s
## 758 91 20743.9642 67 718 20939.0266 20082.6816 4.09% 62.8 45s
## 1264 595 20426.2034 41 1573 20939.0266 20084.4398 4.08% 51.9 50s
## H 1283 612 20924.385117 20084.4398 4.01% 54.4 51s
## 1879 1208 20252.1401 27 1619 20924.3851 20092.6890 3.97% 45.7 55s
## H 1975 1297 20813.687049 20092.6890 3.46% 50.6 58s
## 2427 1749 20135.2054 28 1770 20813.6870 20099.7124 3.43% 42.7 60s
## 2499 1821 20842.4256 59 321 20813.6870 20099.7124 3.43% 49.4 65s
## 3117 2437 20615.7243 40 1807 20813.6870 20109.8128 3.38% 44.1 70s
## 3649 2849 20240.9714 29 1888 20813.6870 20110.2720 3.38% 41.3 75s
## 4178 3233 20287.2623 27 1936 20813.6870 20130.7144 3.28% 40.6 80s
## 4733 3658 21218.4027 72 1440 20813.6870 20148.3760 3.20% 39.0 85s
## 4945 3720 20258.1019 28 1789 20813.6870 20148.6068 3.20% 38.8 93s
## 5003 3753 20664.8444 38 1784 20813.6870 20153.3149 3.17% 39.7 95s
## 5199 3782 20290.4814 32 1693 20813.6870 20155.9610 3.16% 40.9 100s
## 5643 4168 20455.6205 34 1885 20813.6870 20166.6830 3.11% 41.3 105s
## 5896 4383 20547.3369 35 1783 20813.6870 20167.5494 3.10% 42.4 110s
## 5907 4394 20751.2082 39 1821 20813.6870 20167.5494 3.10% 42.9 115s
## 6381 4747 20250.3279 31 1566 20813.6870 20187.3737 3.01% 42.4 120s
## 6828 5008 21599.3982 87 1037 20813.6870 20193.4219 2.98% 42.1 125s
## 7138 5117 20825.3170 51 1789 20813.6870 20195.6514 2.97% 42.9 130s
## 7308 5285 20696.9301 41 1639 20813.6870 20195.9413 2.97% 44.4 135s
## 7990 5486 22541.9478 328 1 20813.6870 20197.6282 2.96% 42.9 140s
## 8473 5563 20540.8496 37 1762 20813.6870 20200.5188 2.95% 42.5 145s
##
## Cutting planes:
## Gomory: 7
## Cover: 5
## MIR: 34
## StrongCG: 1
## Flow cover: 10
## GUB cover: 2
## Zero half: 22
## RLT: 24
##
## Explored 8610 nodes (373301 simplex iterations) in 147.05 seconds (90.12 work units)
## Thread count was 1 (of 8 available processors)
##
## Solution count 1000: 20813.7 20924.4 20939 ... 22442.4
##
## Optimal solution found (tolerance 1.00e-01)
## Best objective 2.081368704941e+04, best bound 2.020051879263e+04, gap 2.9460%</code></pre>
<div class="sourceCode" id="cb35"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb35-1"><a href="#cb35-1" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(prt)</span></code></pre></div>
<pre><code>## class : SpatialPolygonsDataFrame
## features : 1130
## extent : 298809.6, 613818.8, 5167775, 5502544 (xmin, xmax, ymin, ymax)
## crs : +proj=utm +zone=55 +south +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0
## variables : 1005
## names : id, cost, status, locked_in, locked_out, solution_1, solution_2, solution_3, solution_4, solution_5, solution_6, solution_7, solution_8, solution_9, solution_10, ...
## min values : 1, 0.192488262910798, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
## max values : 1130, 61.9272727272727, 2, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...</code></pre>
<p>After generating all these prioritizations, we now want some way to visualize them. Because it would be onerous to look at each and every prioritization individually, we will use statistical analyses to help us. We can visualize the differences between these different prioritizations – based on which planning units they selected – using a hierarchical cluster analysis <span class="citation">(Harris <em>et al.</em> 2014)</span>.</p>
<div class="sourceCode" id="cb37"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb37-1"><a href="#cb37-1" aria-hidden="true" tabindex="-1"></a><span class="co"># extract solutions</span></span>
<span id="cb37-2"><a href="#cb37-2" aria-hidden="true" tabindex="-1"></a>prt_results <span class="ot"><-</span> prt<span class="sc">@</span>data[, <span class="fu">startsWith</span>(<span class="fu">names</span>(prt), <span class="st">"solution_"</span>), ]</span>
<span id="cb37-3"><a href="#cb37-3" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb37-4"><a href="#cb37-4" aria-hidden="true" tabindex="-1"></a><span class="co"># calculate pair-wise distances between different prioritizations for analysis</span></span>
<span id="cb37-5"><a href="#cb37-5" aria-hidden="true" tabindex="-1"></a>prt_dists <span class="ot"><-</span> vegan<span class="sc">::</span><span class="fu">vegdist</span>(<span class="fu">t</span>(prt_results), <span class="at">method =</span> <span class="st">"jaccard"</span>, <span class="at">binary =</span> <span class="cn">TRUE</span>)</span>
<span id="cb37-6"><a href="#cb37-6" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb37-7"><a href="#cb37-7" aria-hidden="true" tabindex="-1"></a><span class="co"># run cluster analysis</span></span>
<span id="cb37-8"><a href="#cb37-8" aria-hidden="true" tabindex="-1"></a>prt_clust <span class="ot"><-</span> <span class="fu">hclust</span>(<span class="fu">as.dist</span>(prt_dists), <span class="at">method =</span> <span class="st">"average"</span>)</span>
<span id="cb37-9"><a href="#cb37-9" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb37-10"><a href="#cb37-10" aria-hidden="true" tabindex="-1"></a><span class="co"># visualize clusters</span></span>
<span id="cb37-11"><a href="#cb37-11" aria-hidden="true" tabindex="-1"></a>opar <span class="ot"><-</span> <span class="fu">par</span>()</span>
<span id="cb37-12"><a href="#cb37-12" aria-hidden="true" tabindex="-1"></a><span class="fu">par</span>(<span class="at">oma =</span> <span class="fu">c</span>(<span class="dv">0</span>, <span class="dv">0</span>, <span class="dv">0</span>, <span class="dv">0</span>), <span class="at">mar=</span> <span class="fu">c</span>(<span class="dv">0</span>, <span class="fl">4.1</span>, <span class="fl">1.5</span>, <span class="fl">2.1</span>))</span>
<span id="cb37-13"><a href="#cb37-13" aria-hidden="true" tabindex="-1"></a><span class="fu">plot</span>(prt_clust, <span class="at">labels =</span> <span class="cn">FALSE</span>, <span class="at">sub =</span> <span class="cn">NA</span>, <span class="at">xlab =</span> <span class="st">""</span>,</span>
<span id="cb37-14"><a href="#cb37-14" aria-hidden="true" tabindex="-1"></a> <span class="at">main =</span> <span class="st">"Different prioritizations in portfolio"</span>)</span>
<span id="cb37-15"><a href="#cb37-15" aria-hidden="true" tabindex="-1"></a><span class="fu">suppressWarnings</span>(<span class="fu">par</span>(opar))</span></code></pre></div>
<p><img 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" style="display: block; margin: auto;" /></p>
<p>We can see that there are approximately six main groups of prioritizations in the portfolio. To explore these different groups, let’s conduct another cluster analysis (i.e., a <em>k</em>-medoids analysis) to extract the most representative prioritization from each of these groups. In other words, we will run another statistical analysis to find the most central prioritization within each group.</p>
<div class="sourceCode" id="cb38"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb38-1"><a href="#cb38-1" aria-hidden="true" tabindex="-1"></a><span class="co"># run k-medoids analysis</span></span>
<span id="cb38-2"><a href="#cb38-2" aria-hidden="true" tabindex="-1"></a>prt_med <span class="ot"><-</span> <span class="fu">pam</span>(prt_dists, <span class="at">k =</span> <span class="dv">6</span>)</span>
<span id="cb38-3"><a href="#cb38-3" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb38-4"><a href="#cb38-4" aria-hidden="true" tabindex="-1"></a><span class="co"># extract names of prioritizations that are most central for each group.</span></span>
<span id="cb38-5"><a href="#cb38-5" aria-hidden="true" tabindex="-1"></a>prt_med_names <span class="ot"><-</span> prt_med<span class="sc">$</span>medoids</span>
<span id="cb38-6"><a href="#cb38-6" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(prt_med_names)</span></code></pre></div>
<pre><code>## [1] "solution_37" "solution_14" "solution_287" "solution_42" "solution_374"
## [6] "solution_813"</code></pre>
<div class="sourceCode" id="cb40"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb40-1"><a href="#cb40-1" aria-hidden="true" tabindex="-1"></a><span class="co"># create a copy of prt and set values for locked in planning units to -1</span></span>
<span id="cb40-2"><a href="#cb40-2" aria-hidden="true" tabindex="-1"></a><span class="co"># so we can easily visualize differences between prioritizations</span></span>
<span id="cb40-3"><a href="#cb40-3" aria-hidden="true" tabindex="-1"></a>prt2 <span class="ot"><-</span> prt[, prt_med_names]</span>
<span id="cb40-4"><a href="#cb40-4" aria-hidden="true" tabindex="-1"></a>prt2<span class="sc">@</span>data[<span class="fu">which</span>(tas_pu<span class="sc">$</span>locked_in <span class="sc">></span> <span class="fl">0.5</span>), prt_med_names] <span class="ot"><-</span> <span class="sc">-</span><span class="dv">1</span></span>
<span id="cb40-5"><a href="#cb40-5" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb40-6"><a href="#cb40-6" aria-hidden="true" tabindex="-1"></a><span class="co"># plot a map showing main different prioritizations</span></span>
<span id="cb40-7"><a href="#cb40-7" aria-hidden="true" tabindex="-1"></a><span class="co"># dark grey: locked in planning units</span></span>
<span id="cb40-8"><a href="#cb40-8" aria-hidden="true" tabindex="-1"></a><span class="co"># grey: planning units not selected</span></span>
<span id="cb40-9"><a href="#cb40-9" aria-hidden="true" tabindex="-1"></a><span class="co"># green: selected planning units</span></span>
<span id="cb40-10"><a href="#cb40-10" aria-hidden="true" tabindex="-1"></a><span class="fu">plot</span>(<span class="fu">st_as_sf</span>(prt2), <span class="at">pal =</span> <span class="fu">c</span>(<span class="st">"grey60"</span>, <span class="st">"grey90"</span>, <span class="st">"darkgreen"</span>))</span></code></pre></div>
<p><img src="data:image/png;base64,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" style="display: block; margin: auto;" /></p>
</div>
<div id="marxan-compatibility" class="section level2">
<h2><em>Marxan</em> compatibility</h2>
<p>The <em>prioritizr R</em> package provides functionality to help <em>Marxan</em> users generate prioritizations. Specifically, it can import conservation planning data prepared for <em>Marxan</em>, and can generate prioritizations using a similar problem formulation as <em>Marxan</em> <span class="citation">(based on Beyer <em>et al.</em> 2016)</span>. Indeed, the problem formulation presented earlier in this vignette is very similar to that used by <em>Marxan</em>. The key difference is that the problem formulation we specified earlier uses “hard constraints” for feature representation, and <em>Marxan</em> uses “soft constraints” for feature representation. This means that prioritization we generated earlier was mathematically guaranteed to reach the targets for all features. However, if we used <em>Marxan</em> to generate the prioritization, then we could have produced a prioritization that would fail to reach targets (depending the <em>Species Penalty Factors</em> used to generate the prioritization). In addition to these differences in terms problem formulation, the <em>prioritizr R</em> package uses exact algorithms – instead of the simulated annealing algorithm – which ensures that we obtain prioritizations that are near optimal.</p>
<p>Here we will show the <em>prioritizr R</em> package can import <em>Marxan</em> data and generate a prioritization. To begin with, let’s import a conservation planning data prepared for <em>Marxan</em>.</p>
<div class="sourceCode" id="cb41"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb41-1"><a href="#cb41-1" aria-hidden="true" tabindex="-1"></a><span class="co"># import data</span></span>
<span id="cb41-2"><a href="#cb41-2" aria-hidden="true" tabindex="-1"></a><span class="do">## planning unit data</span></span>
<span id="cb41-3"><a href="#cb41-3" aria-hidden="true" tabindex="-1"></a>pu_path <span class="ot"><-</span> <span class="fu">system.file</span>(<span class="st">"extdata/input/pu.dat"</span>, <span class="at">package =</span> <span class="st">"prioritizr"</span>)</span>
<span id="cb41-4"><a href="#cb41-4" aria-hidden="true" tabindex="-1"></a>pu_data <span class="ot"><-</span> <span class="fu">read.csv</span>(pu_path, <span class="at">header =</span> <span class="cn">TRUE</span>, <span class="at">stringsAsFactors =</span> <span class="cn">FALSE</span>)</span>
<span id="cb41-5"><a href="#cb41-5" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(<span class="fu">head</span>(pu_data))</span></code></pre></div>
<pre><code>## id cost status xloc yloc
## 1 3 0.000 0 1116623 -4493479
## 2 30 7527.275 3 1110623 -4496943
## 3 56 37349.075 0 1092623 -4500408
## 4 58 16959.021 0 1116623 -4500408
## 5 84 34220.256 0 1098623 -4503872
## 6 85 178907.584 0 1110623 -4503872</code></pre>
<div class="sourceCode" id="cb43"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb43-1"><a href="#cb43-1" aria-hidden="true" tabindex="-1"></a><span class="do">## feature data</span></span>
<span id="cb43-2"><a href="#cb43-2" aria-hidden="true" tabindex="-1"></a>spec_path <span class="ot"><-</span> <span class="fu">system.file</span>(<span class="st">"extdata/input/spec.dat"</span>, <span class="at">package =</span> <span class="st">"prioritizr"</span>)</span>
<span id="cb43-3"><a href="#cb43-3" aria-hidden="true" tabindex="-1"></a>spec_data <span class="ot"><-</span> <span class="fu">read.csv</span>(spec_path, <span class="at">header =</span> <span class="cn">TRUE</span>, <span class="at">stringsAsFactors =</span> <span class="cn">FALSE</span>)</span>
<span id="cb43-4"><a href="#cb43-4" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(<span class="fu">head</span>(spec_data))</span></code></pre></div>
<pre><code>## id prop spf name
## 1 10 0.3 1 bird1
## 2 11 0.3 1 nvis2
## 3 12 0.3 1 nvis8
## 4 13 0.3 1 nvis9
## 5 14 0.3 1 nvis14
## 6 15 0.3 1 nvis20</code></pre>
<div class="sourceCode" id="cb45"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb45-1"><a href="#cb45-1" aria-hidden="true" tabindex="-1"></a><span class="do">## amount of each feature within each planning unit data</span></span>
<span id="cb45-2"><a href="#cb45-2" aria-hidden="true" tabindex="-1"></a>puvspr_path <span class="ot"><-</span> <span class="fu">system.file</span>(<span class="st">"extdata/input/puvspr.dat"</span>, <span class="at">package =</span> <span class="st">"prioritizr"</span>)</span>
<span id="cb45-3"><a href="#cb45-3" aria-hidden="true" tabindex="-1"></a>puvspr_data <span class="ot"><-</span> <span class="fu">read.csv</span>(puvspr_path, <span class="at">header =</span> <span class="cn">TRUE</span>, <span class="at">stringsAsFactors =</span> <span class="cn">FALSE</span>)</span>
<span id="cb45-4"><a href="#cb45-4" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(<span class="fu">head</span>(puvspr_data))</span></code></pre></div>
<pre><code>## species pu amount
## 1 26 56 120.344884
## 2 26 58 45.167010
## 3 26 84 68.047375
## 4 26 85 9.735624
## 5 26 86 7.803476
## 6 26 111 478.327417</code></pre>
<div class="sourceCode" id="cb47"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb47-1"><a href="#cb47-1" aria-hidden="true" tabindex="-1"></a><span class="do">## boundary data</span></span>
<span id="cb47-2"><a href="#cb47-2" aria-hidden="true" tabindex="-1"></a>bound_path <span class="ot"><-</span> <span class="fu">system.file</span>(<span class="st">"extdata/input/bound.dat"</span>, <span class="at">package =</span> <span class="st">"prioritizr"</span>)</span>
<span id="cb47-3"><a href="#cb47-3" aria-hidden="true" tabindex="-1"></a>bound_data <span class="ot"><-</span> <span class="fu">read.table</span>(bound_path, <span class="at">header =</span> <span class="cn">TRUE</span>, <span class="at">stringsAsFactors =</span> <span class="cn">FALSE</span>)</span>
<span id="cb47-4"><a href="#cb47-4" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(<span class="fu">head</span>(bound_data))</span></code></pre></div>
<pre><code>## id1 id2 boundary
## 1 3 3 16000
## 2 3 30 4000
## 3 3 58 4000
## 4 30 30 12000
## 5 30 58 4000
## 6 30 85 4000</code></pre>
<p>After importing the data, we can now generate a prioritization based on the <em>Marxan</em> problem formulation (using the <code>marxan_problem()</code> function). <strong>Please note that this function does not generate prioritizations using <em>Marxan</em>.</strong> Instead, it uses the data to create an optimization problem formulation similar to <em>Marxan</em> – using hard constraints instead of soft constraints – and uses an exact algorithm solver to generate a prioritization.</p>
<div class="sourceCode" id="cb49"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb49-1"><a href="#cb49-1" aria-hidden="true" tabindex="-1"></a><span class="co"># create problem</span></span>
<span id="cb49-2"><a href="#cb49-2" aria-hidden="true" tabindex="-1"></a>p2 <span class="ot"><-</span> <span class="fu">marxan_problem</span>(pu_data, spec_data, puvspr_data, bound_data,</span>
<span id="cb49-3"><a href="#cb49-3" aria-hidden="true" tabindex="-1"></a> <span class="at">blm =</span> <span class="fl">0.0005</span>)</span>
<span id="cb49-4"><a href="#cb49-4" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb49-5"><a href="#cb49-5" aria-hidden="true" tabindex="-1"></a><span class="co"># print problem</span></span>
<span id="cb49-6"><a href="#cb49-6" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(p2)</span></code></pre></div>
<pre><code>## Conservation Problem
## planning units: data.frame (1751 units)
## cost: min: 0, max: 415692.19382
## features: bird1, nvis2, nvis8, ... (17 features)
## objective: Minimum set objective
## targets: Relative targets [targets (min: 0.3, max: 0.3)]
## decisions: default
## constraints: <Locked out planning units [1 locked units]
## Locked in planning units [317 locked units]>
## penalties: <Boundary penalties [edge factor (min: 1, max: 1), penalty (5e-04), zones]>
## portfolio: default
## solver: default</code></pre>
<div class="sourceCode" id="cb51"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb51-1"><a href="#cb51-1" aria-hidden="true" tabindex="-1"></a><span class="co"># solve problem</span></span>
<span id="cb51-2"><a href="#cb51-2" aria-hidden="true" tabindex="-1"></a>s2 <span class="ot"><-</span> <span class="fu">solve</span>(p2)</span></code></pre></div>
<pre><code>## Gurobi Optimizer version 9.5.2 build v9.5.2rc0 (linux64)
## Thread count: 4 physical cores, 8 logical processors, using up to 1 threads
## Optimize a model with 10075 rows, 6780 columns and 24778 nonzeros
## Model fingerprint: 0x37d7a0a1
## Variable types: 0 continuous, 6780 integer (6780 binary)
## Coefficient statistics:
## Matrix range [5e-05, 4e+03]
## Objective range [4e+00, 4e+05]
## Bounds range [1e+00, 1e+00]
## RHS range [5e+03, 3e+05]
## Found heuristic solution: objective 1.221202e+08
## Presolve removed 4707 rows and 3103 columns
## Presolve time: 0.11s
## Presolved: 5368 rows, 3677 columns, 12704 nonzeros
## Variable types: 0 continuous, 3677 integer (3677 binary)
## Found heuristic solution: objective 1.009944e+08
## Root relaxation presolved: 5368 rows, 3677 columns, 12704 nonzeros
##
##
## Root relaxation: objective 9.564790e+07, 521 iterations, 0.02 seconds (0.01 work units)
##
## Nodes | Current Node | Objective Bounds | Work
## Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
##
## 0 0 9.5648e+07 0 20 1.0099e+08 9.5648e+07 5.29% - 0s
##
## Explored 1 nodes (521 simplex iterations) in 0.15 seconds (0.10 work units)
## Thread count was 1 (of 8 available processors)
##
## Solution count 2: 1.00994e+08 1.2212e+08
##
## Optimal solution found (tolerance 1.00e-01)
## Best objective 1.009944489031e+08, best bound 9.564790440581e+07, gap 5.2939%</code></pre>
<div class="sourceCode" id="cb53"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb53-1"><a href="#cb53-1" aria-hidden="true" tabindex="-1"></a><span class="co"># print first six rows of solution object</span></span>
<span id="cb53-2"><a href="#cb53-2" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(<span class="fu">head</span>(s2))</span></code></pre></div>
<pre><code>## id cost status xloc yloc locked_in locked_out solution_1
## 1 3 0.000 0 1116623 -4493479 FALSE FALSE 0
## 2 30 7527.275 3 1110623 -4496943 FALSE TRUE 0
## 3 56 37349.075 0 1092623 -4500408 FALSE FALSE 0
## 4 58 16959.021 0 1116623 -4500408 FALSE FALSE 0
## 5 84 34220.256 0 1098623 -4503872 FALSE FALSE 0
## 6 85 178907.584 0 1110623 -4503872 FALSE FALSE 0</code></pre>
</div>
<div id="conclusion" class="section level2">
<h2>Conclusion</h2>
<p>This tutorial shows how the <em>prioritizr R</em> package can be used to build a conservation problem, generate a prioritization, and evaluate it. Although we explored just a few functions, the package provides many different functions so that you can build and custom-tailor conservation planning problems to suit your needs. To learn more about the package, please see the package vignettes for <a href="package_overview.html">an overview of the package</a>, <a href="gurobi_installation_guide.html">instructions for installing the <em>Gurobi</em> optimization suite</a>, <a href="solver_benchmarks.html">benchmarks comparing the performance of different solvers</a>, and <a href="publication_record.html">a record of publications that have cited the package</a>. In addition to this tutorial, the package also provides tutorials on <a href="connectivity_tutorial.html">incorporating connectivity into prioritizations</a>, <a href="calibrating_trade-offs_tutorial.html">calibrating trade-offs between different criteria</a> (e.g., total cost and spatial fragmentation), and <a href="management_zones_tutorial.html">creating prioritizations that have multiple management zones or management actions</a>.</p>
</div>
<div id="references" class="section level2 unnumbered">
<h2 class="unnumbered">References</h2>
<div id="refs" class="references csl-bib-body hanging-indent">
<div id="ref-r3" class="csl-entry">
Ball, I.R., Possingham, H. & Watts, M.E. (2009). <span class="nocase">Marxan and relatives: Software for spatial conservation prioritisation</span>. <em><span>Spatial Conservation Prioritisation: Quantitative Methods & Computational Tools</span></em> (eds A. Moilanen, K.A. Wilson & H. Possingham), pp. 185–189. Oxford University Press, Oxford, UK.
</div>
<div id="ref-r1" class="csl-entry">
Beyer, H.L., Dujardin, Y., Watts, M.E. & Possingham, H.P. (2016). Solving conservation planning problems with integer linear programming. <em>Ecological Modelling</em>, <em>328</em>, 14–22.
</div>
<div id="ref-r34" class="csl-entry">
Ferrier, S., Pressey, R.L. & Barrett, T.W. (2000). A new predictor of the irreplaceability of areas for achieving a conservation goal, its application to real-world planning, and a research agenda for further refinement. <em>Biological Conservation</em>, <em>93</em>, 303–325.
</div>
<div id="ref-r35" class="csl-entry">
Harris, L.R., Watts, M.E., Nel, R., Schoeman, D.S. & Possingham, H.P. (2014). Using multivariate statistics to explore trade-offs among spatial planning scenarios (P. Armsworth, Ed.). <em>Journal of Applied Ecology</em>, <em>51</em>, 1504–1514.
</div>
<div id="ref-r30" class="csl-entry">
Klein, C., Carwardine, J., Wilson, K., Watts, M. & Possingham, H. (2007). <em><span class="nocase">Spatial Prioritization Approaches for the Conservation of Biodiversity in Australia: Considering Conservation Costs, Ecological & Evolutionary Processes, and Large-Intact Areas</span></em>. Report to the Department of Environment; Water Resources.
</div>
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