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    <h1>Deposition from spray drift expressed as percent of the applied dose as
</h1>
    </div>

    
    <p>Deposition from spray drift expressed as percent of the applied dose as
published by the German Julius-Kühn Institute (JKI).</p>
    

        
    <h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>

    <p>A list currently containing matrices with spray drift percentage
data for field crops (Ackerbau), and Pome/stone fruit, early and late
(Obstbau frueh, spaet).</p>
    
    <h2 class="hasAnchor" id="source"><a class="anchor" href="#source"></a>Source</h2>

    <p>JKI (2010) Spreadsheet &#39;Tabelle der Abdrifteckwerte.xls&#39;, retrieved
from
http://www.jki.bund.de/no_cache/de/startseite/institute/anwendungstechnik/abdrift-eckwerte.html
on 2015-06-11</p>
    
    <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>

    <p>The data were extracted from the spreadsheet cited below using the R code
given in the example section. The spreadsheet is not included in the package
as its licence is not clear.</p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'>
<span class='co'>## Not run: ------------------------------------</span>
<span class='co'>#   # This is the code that was used to extract the data</span>
<span class='co'>#   library(readxl)</span>
<span class='co'>#   abdrift_path &lt;- "inst/extdata/Tabelle der Abdrifteckwerte.xls"</span>
<span class='co'>#   JKI_crops &lt;- c("Ackerbau", "Obstbau frueh", "Obstbau spaet")</span>
<span class='co'>#   names(JKI_crops) &lt;- c("Field crops", "Pome/stone fruit, early", "Pome/stone fruit, late")</span>
<span class='co'>#   drift_data_JKI &lt;- list()</span>
<span class='co'># </span>
<span class='co'>#   for (n in 1:8) {</span>
<span class='co'>#     drift_data_raw &lt;- read_excel(abdrift_path, sheet = n + 1, skip = 2)</span>
<span class='co'>#     drift_data &lt;- as.matrix(drift_data_raw[1:9, 2:4]) </span>
<span class='co'>#     dimnames(drift_data) &lt;- list(distance = as.integer(drift_data_raw[1:9, 1]),</span>
<span class='co'>#                                             crop = JKI_crops)</span>
<span class='co'>#     drift_data_JKI[[n]] &lt;- drift_data</span>
<span class='co'>#   }</span>
<span class='co'>#   save(drift_data_JKI, file = "data/drift_data_JKI.RData")</span>
<span class='co'>## ---------------------------------------------</span>

<span class='co'># And this is the resulting data</span>
<span class='no'>drift_data_JKI</span></div><div class='output co'>#&gt; [[1]]
#&gt;         crop
#&gt; distance Ackerbau Obstbau frueh Obstbau spaet
#&gt;       1      2.77            NA            NA
#&gt;       3        NA         29.20         15.73
#&gt;       5      0.57         19.89          8.41
#&gt;       10     0.29         11.81          3.60
#&gt;       15     0.20          5.55          1.81
#&gt;       20     0.15          2.77          1.09
#&gt;       30     0.10          1.04          0.54
#&gt;       40     0.07          0.52          0.32
#&gt;       50     0.06          0.30          0.22
#&gt; 
#&gt; [[2]]
#&gt;         crop
#&gt; distance Ackerbau Obstbau frueh Obstbau spaet
#&gt;       1      2.38            NA            NA
#&gt;       3        NA         25.53         12.13
#&gt;       5      0.47         16.87          6.81
#&gt;       10     0.24          9.61          3.11
#&gt;       15     0.16          5.61          1.58
#&gt;       20     0.12          2.59          0.90
#&gt;       30     0.08          0.87          0.40
#&gt;       40     0.06          0.40          0.23
#&gt;       50     0.05          0.22          0.15
#&gt; 
#&gt; [[3]]
#&gt;         crop
#&gt; distance Ackerbau Obstbau frueh Obstbau spaet
#&gt;       1      2.01            NA            NA
#&gt;       3        NA         23.96         11.01
#&gt;       5      0.41         15.79          6.04
#&gt;       10     0.20          8.96          2.67
#&gt;       15     0.14          4.24          1.39
#&gt;       20     0.10          2.01          0.80
#&gt;       30     0.07          0.70          0.36
#&gt;       40     0.05          0.33          0.21
#&gt;       50     0.04          0.19          0.13
#&gt; 
#&gt; [[4]]
#&gt;         crop
#&gt; distance Ackerbau Obstbau frueh Obstbau spaet
#&gt;       1      1.85            NA            NA
#&gt;       3        NA         23.61         10.12
#&gt;       5      0.38         15.42          5.60
#&gt;       10     0.19          8.66          2.50
#&gt;       15     0.13          4.01          1.28
#&gt;       20     0.10          1.89          0.75
#&gt;       30     0.06          0.66          0.35
#&gt;       40     0.05          0.31          0.20
#&gt;       50     0.04          0.17          0.13
#&gt; 
#&gt; [[5]]
#&gt;         crop
#&gt; distance Ackerbau Obstbau frueh Obstbau spaet
#&gt;       1      1.75            NA            NA
#&gt;       3        NA         23.12          9.74
#&gt;       5      0.36         15.06          5.41
#&gt;       10     0.18          8.42          2.43
#&gt;       15     0.12          3.83          1.24
#&gt;       20     0.09          1.81          0.72
#&gt;       30     0.06          0.63          0.34
#&gt;       40     0.05          0.30          0.20
#&gt;       50     0.04          0.17          0.13
#&gt; 
#&gt; [[6]]
#&gt;         crop
#&gt; distance Ackerbau Obstbau frueh Obstbau spaet
#&gt;       1      1.64            NA            NA
#&gt;       3        NA         22.76          9.21
#&gt;       5      0.34         14.64          5.18
#&gt;       10     0.17          8.04          2.38
#&gt;       15     0.11          3.71          1.20
#&gt;       20     0.09          1.75          0.68
#&gt;       30     0.06          0.61          0.31
#&gt;       40     0.04          0.29          0.17
#&gt;       50     0.03          0.16          0.11
#&gt; 
#&gt; [[7]]
#&gt;         crop
#&gt; distance Ackerbau Obstbau frueh Obstbau spaet
#&gt;       1      1.61            NA            NA
#&gt;       3        NA         22.69          9.10
#&gt;       5      0.33         14.45          5.11
#&gt;       10     0.17          7.83          2.33
#&gt;       15     0.11          3.62          1.20
#&gt;       20     0.08          1.71          0.67
#&gt;       30     0.06          0.60          0.30
#&gt;       40     0.04          0.28          0.17
#&gt;       50     0.03          0.16          0.11
#&gt; 
#&gt; [[8]]
#&gt;         crop
#&gt; distance Ackerbau Obstbau frueh Obstbau spaet
#&gt;       1      1.52            NA            NA
#&gt;       3        NA         22.24          8.66
#&gt;       5      0.31         14.09          4.92
#&gt;       10     0.16          7.58          2.29
#&gt;       15     0.11          3.48          1.14
#&gt;       20     0.08          1.65          0.65
#&gt;       30     0.05          0.57          0.29
#&gt;       40     0.04          0.27          0.16
#&gt;       50     0.03          0.15          0.11
#&gt; </div></pre>
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    <h2>Contents</h2>
    <ul class="nav nav-pills nav-stacked">
      
      <li><a href="#format">Format</a></li>

      <li><a href="#source">Source</a></li>

      <li><a href="#details">Details</a></li>
      
      <li><a href="#examples">Examples</a></li>
    </ul>

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