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<h1>Step 1/2 scenario data as distributed with the FOCUS Step 1/2 calculator</h1>
</div>
<p>The data were extracted from the scenario.txt file using the R code shown below.
The text file is not included in the package as its licence is not clear.</p>
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
<p>A list containing the scenario names in a character vector called 'names',
the drift percentiles in a matrix called 'drift', interception percentages in
a matrix called 'interception' and the runoff/drainage percentages for Step 2
calculations in a matrix called 'rd'.</p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><div class='input'>
</div><span class='co'># NOT RUN {</span>
<span class='co'># This is the code that was used to extract the data</span>
<span class='no'>scenario_path</span> <span class='kw'><-</span> <span class='st'>"inst/extdata/FOCUS_Step_12_scenarios.txt"</span>
<span class='no'>scenarios</span> <span class='kw'><-</span> <span class='fu'>readLines</span>(<span class='no'>scenario_path</span>)[<span class='fl'>9</span>:<span class='fl'>38</span>]
<span class='no'>FOCUS_Step_12_scenarios</span> <span class='kw'><-</span> <span class='fu'>list</span>()
<span class='no'>sce</span> <span class='kw'><-</span> <span class='fu'>read.table</span>(<span class='kw'>text</span> <span class='kw'>=</span> <span class='no'>scenarios</span>, <span class='kw'>sep</span> <span class='kw'>=</span> <span class='st'>"\t"</span>, <span class='kw'>header</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>check.names</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='kw'>stringsAsFactors</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='no'>FOCUS_Step_12_scenarios</span>$<span class='no'>names</span> <span class='kw'>=</span> <span class='no'>sce</span>$<span class='no'>Crop</span>
<span class='fu'>rownames</span>(<span class='no'>sce</span>) <span class='kw'><-</span> <span class='no'>sce</span>$<span class='no'>Crop</span>
<span class='no'>FOCUS_Step_12_scenarios</span>$<span class='no'>drift</span> <span class='kw'>=</span> <span class='no'>sce</span>[, <span class='fl'>3</span>:<span class='fl'>11</span>]
<span class='no'>FOCUS_Step_12_scenarios</span>$<span class='no'>interception</span> <span class='kw'>=</span> <span class='no'>sce</span>[, <span class='fl'>12</span>:<span class='fl'>15</span>]
<span class='no'>sce_2</span> <span class='kw'><-</span> <span class='fu'>readLines</span>(<span class='no'>scenario_path</span>)[<span class='fl'>41</span>:<span class='fl'>46</span>]
<span class='no'>rd</span> <span class='kw'><-</span> <span class='fu'>read.table</span>(<span class='kw'>text</span> <span class='kw'>=</span> <span class='no'>sce_2</span>, <span class='kw'>sep</span> <span class='kw'>=</span> <span class='st'>"\t"</span>)[<span class='fl'>1</span>:<span class='fl'>2</span>]
<span class='no'>rd_mat</span> <span class='kw'><-</span> <span class='fu'>matrix</span>(<span class='no'>rd</span>$<span class='no'>V2</span>, <span class='kw'>nrow</span> <span class='kw'>=</span> <span class='fl'>3</span>, <span class='kw'>byrow</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>dimnames</span>(<span class='no'>rd_mat</span>) <span class='kw'>=</span> <span class='fu'>list</span>(<span class='kw'>Time</span> <span class='kw'>=</span> <span class='fu'>c</span>(<span class='st'>"Oct-Feb"</span>, <span class='st'>"Mar-May"</span>, <span class='st'>"Jun-Sep"</span>),
<span class='kw'>Region</span> <span class='kw'>=</span> <span class='fu'>c</span>(<span class='st'>"North"</span>, <span class='st'>"South"</span>))
<span class='no'>FOCUS_Step_12_scenarios</span>$<span class='no'>rd</span> <span class='kw'>=</span> <span class='no'>rd_mat</span>
<span class='fu'>save</span>(<span class='no'>FOCUS_Step_12_scenarios</span>, <span class='kw'>file</span> <span class='kw'>=</span> <span class='st'>"data/FOCUS_Step_12_scenarios.RData"</span>)
<span class='co'># }</span><div class='input'>
<span class='co'># And this is the resulting data</span>
<span class='no'>FOCUS_Step_12_scenarios</span></div><div class='output co'>#> $names
#> [1] "cereals, spring" "cereals, winter"
#> [3] "citrus" "cotton"
#> [5] "field beans" "grass / alfalfa"
#> [7] "hops" "legumes"
#> [9] "maize" "oil seed rape, spring"
#> [11] "oil seed rape, winter" "olives"
#> [13] "pome / stone fruit, early applns" "pome / stone fruit, late applns"
#> [15] "potatoes" "soybeans"
#> [17] "sugar beets" "sunflowers"
#> [19] "tobacco" "vegetables, bulb"
#> [21] "vegetables, fruiting" "vegetables, leafy"
#> [23] "vegetables, root" "vines, early applns"
#> [25] "vines, late applns" "appln, aerial"
#> [27] "appln, hand (crop < 50 cm)" "appln, hand (crop > 50 cm)"
#> [29] "no drift (incorp or seed trtmt)"
#>
#> $drift
#> 1 2 3 4 5 6
#> cereals, spring 2.759 2.438 2.024 1.862 1.794 1.631
#> cereals, winter 2.759 2.438 2.024 1.862 1.794 1.631
#> citrus 15.725 12.129 11.011 10.124 9.743 9.204
#> cotton 2.759 2.438 2.024 1.862 1.794 1.631
#> field beans 2.759 2.438 2.024 1.862 1.794 1.631
#> grass / alfalfa 2.759 2.438 2.024 1.862 1.794 1.631
#> hops 19.326 17.723 15.928 15.378 15.114 14.902
#> legumes 2.759 2.438 2.024 1.862 1.794 1.631
#> maize 2.759 2.438 2.024 1.862 1.794 1.631
#> oil seed rape, spring 2.759 2.438 2.024 1.862 1.794 1.631
#> oil seed rape, winter 2.759 2.438 2.024 1.862 1.794 1.631
#> olives 15.725 12.129 11.011 10.124 9.743 9.204
#> pome / stone fruit, early applns 29.197 25.531 23.960 23.603 23.116 22.760
#> pome / stone fruit, late applns 15.725 12.129 11.011 10.124 9.743 9.204
#> potatoes 2.759 2.438 2.024 1.862 1.794 1.631
#> soybeans 2.759 2.438 2.024 1.862 1.794 1.631
#> sugar beets 2.759 2.438 2.024 1.862 1.794 1.631
#> sunflowers 2.759 2.438 2.024 1.862 1.794 1.631
#> tobacco 2.759 2.438 2.024 1.862 1.794 1.631
#> vegetables, bulb 2.759 2.438 2.024 1.862 1.794 1.631
#> vegetables, fruiting 2.759 2.438 2.024 1.862 1.794 1.631
#> vegetables, leafy 2.759 2.438 2.024 1.862 1.794 1.631
#> vegetables, root 2.759 2.438 2.024 1.862 1.794 1.631
#> vines, early applns 2.699 2.496 2.546 2.499 2.398 2.336
#> vines, late applns 8.028 7.119 6.898 6.631 6.636 6.431
#> appln, aerial 33.200 33.200 33.200 33.200 33.200 33.200
#> appln, hand (crop < 50 cm) 2.759 2.438 2.024 1.862 1.794 1.631
#> appln, hand (crop > 50 cm) 8.028 7.119 6.898 6.631 6.636 6.431
#> no drift (incorp or seed trtmt) 0.000 0.000 0.000 0.000 0.000 0.000
#> 7 8 >8
#> cereals, spring 1.578 1.512 1.512
#> cereals, winter 1.578 1.512 1.512
#> citrus 9.102 8.656 8.656
#> cotton 1.578 1.512 1.512
#> field beans 1.578 1.512 1.512
#> grass / alfalfa 1.578 1.512 1.512
#> hops 14.628 13.520 13.520
#> legumes 1.578 1.512 1.512
#> maize 1.578 1.512 1.512
#> oil seed rape, spring 1.578 1.512 1.512
#> oil seed rape, winter 1.578 1.512 1.512
#> olives 9.102 8.656 8.656
#> pome / stone fruit, early applns 22.690 22.241 22.241
#> pome / stone fruit, late applns 9.102 8.656 8.656
#> potatoes 1.578 1.512 1.512
#> soybeans 1.578 1.512 1.512
#> sugar beets 1.578 1.512 1.512
#> sunflowers 1.578 1.512 1.512
#> tobacco 1.578 1.512 1.512
#> vegetables, bulb 1.578 1.512 1.512
#> vegetables, fruiting 1.578 1.512 1.512
#> vegetables, leafy 1.578 1.512 1.512
#> vegetables, root 1.578 1.512 1.512
#> vines, early applns 2.283 2.265 2.265
#> vines, late applns 6.227 6.173 6.173
#> appln, aerial 33.200 33.200 33.200
#> appln, hand (crop < 50 cm) 1.578 1.512 1.512
#> appln, hand (crop > 50 cm) 6.227 6.173 6.173
#> no drift (incorp or seed trtmt) 0.000 0.000 0.000
#>
#> $interception
#> no interception minimal crop cover
#> cereals, spring 0 0.00
#> cereals, winter 0 0.00
#> citrus 0 0.80
#> cotton 0 0.30
#> field beans 0 0.25
#> grass / alfalfa 0 0.40
#> hops 0 0.20
#> legumes 0 0.25
#> maize 0 0.25
#> oil seed rape, spring 0 0.40
#> oil seed rape, winter 0 0.40
#> olives 0 0.70
#> pome / stone fruit, early applns 0 0.20
#> pome / stone fruit, late applns 0 0.20
#> potatoes 0 0.15
#> soybeans 0 0.20
#> sugar beets 0 0.20
#> sunflowers 0 0.20
#> tobacco 0 0.20
#> vegetables, bulb 0 0.10
#> vegetables, fruiting 0 0.25
#> vegetables, leafy 0 0.25
#> vegetables, root 0 0.25
#> vines, early applns 0 0.40
#> vines, late applns 0 0.40
#> appln, aerial 0 0.20
#> appln, hand (crop < 50 cm) 0 0.20
#> appln, hand (crop > 50 cm) 0 0.20
#> no drift (incorp or seed trtmt) 0 0.00
#> average crop cover full canopy
#> cereals, spring 0.20 0.70
#> cereals, winter 0.20 0.70
#> citrus 0.80 0.80
#> cotton 0.60 0.75
#> field beans 0.40 0.70
#> grass / alfalfa 0.60 0.75
#> hops 0.50 0.70
#> legumes 0.50 0.70
#> maize 0.50 0.75
#> oil seed rape, spring 0.70 0.75
#> oil seed rape, winter 0.70 0.75
#> olives 0.70 0.70
#> pome / stone fruit, early applns 0.40 0.65
#> pome / stone fruit, late applns 0.40 0.65
#> potatoes 0.50 0.70
#> soybeans 0.50 0.75
#> sugar beets 0.70 0.75
#> sunflowers 0.50 0.75
#> tobacco 0.70 0.75
#> vegetables, bulb 0.25 0.40
#> vegetables, fruiting 0.50 0.70
#> vegetables, leafy 0.40 0.70
#> vegetables, root 0.50 0.70
#> vines, early applns 0.50 0.60
#> vines, late applns 0.50 0.60
#> appln, aerial 0.50 0.70
#> appln, hand (crop < 50 cm) 0.50 0.70
#> appln, hand (crop > 50 cm) 0.50 0.70
#> no drift (incorp or seed trtmt) 0.00 0.00
#>
#> $rd
#> Region
#> Time North South
#> Oct-Feb 5 4
#> Mar-May 2 4
#> Jun-Sep 2 3
#> </div></pre>
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