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    <div class="container">
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      <h1>Deposition from spray drift expressed as percent of the applied dose as
published by the JKI</h1>

<div class="row">
  <div class="span8">
        
    <div class="Format">
      <h2>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>

    </div>

    <div class="Source">
      <h2>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>

    </div>

    <div class="Description">
      <h2>Description</h2>

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

    </div>

    <div class="Details">
      <h2>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>

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

<span class="comment"># And this is the resulting data</span>
<span class="symbol">drift_data_JKI</span></div>
<div class='output'>[[1]]
        crop
distance Ackerbau Obstbau frueh Obstbau spaet
      1      2.77            NA            NA
      3        NA         29.20         15.73
      5      0.57         19.89          8.41
      10     0.29         11.81          3.60
      15     0.20          5.55          1.81
      20     0.15          2.77          1.09
      30     0.10          1.04          0.54
      40     0.07          0.52          0.32
      50     0.06          0.30          0.22

[[2]]
        crop
distance Ackerbau Obstbau frueh Obstbau spaet
      1      2.38            NA            NA
      3        NA         25.53         12.13
      5      0.47         16.87          6.81
      10     0.24          9.61          3.11
      15     0.16          5.61          1.58
      20     0.12          2.59          0.90
      30     0.08          0.87          0.40
      40     0.06          0.40          0.23
      50     0.05          0.22          0.15

[[3]]
        crop
distance Ackerbau Obstbau frueh Obstbau spaet
      1      2.01            NA            NA
      3        NA         23.96         11.01
      5      0.41         15.79          6.04
      10     0.20          8.96          2.67
      15     0.14          4.24          1.39
      20     0.10          2.01          0.80
      30     0.07          0.70          0.36
      40     0.05          0.33          0.21
      50     0.04          0.19          0.13

[[4]]
        crop
distance Ackerbau Obstbau frueh Obstbau spaet
      1      1.85            NA            NA
      3        NA         23.61         10.12
      5      0.38         15.42          5.60
      10     0.19          8.66          2.50
      15     0.13          4.01          1.28
      20     0.10          1.89          0.75
      30     0.06          0.66          0.35
      40     0.05          0.31          0.20
      50     0.04          0.17          0.13

[[5]]
        crop
distance Ackerbau Obstbau frueh Obstbau spaet
      1      1.75            NA            NA
      3        NA         23.12          9.74
      5      0.36         15.06          5.41
      10     0.18          8.42          2.43
      15     0.12          3.83          1.24
      20     0.09          1.81          0.72
      30     0.06          0.63          0.34
      40     0.05          0.30          0.20
      50     0.04          0.17          0.13

[[6]]
        crop
distance Ackerbau Obstbau frueh Obstbau spaet
      1      1.64            NA            NA
      3        NA         22.76          9.21
      5      0.34         14.64          5.18
      10     0.17          8.04          2.38
      15     0.11          3.71          1.20
      20     0.09          1.75          0.68
      30     0.06          0.61          0.31
      40     0.04          0.29          0.17
      50     0.03          0.16          0.11

[[7]]
        crop
distance Ackerbau Obstbau frueh Obstbau spaet
      1      1.61            NA            NA
      3        NA         22.69          9.10
      5      0.33         14.45          5.11
      10     0.17          7.83          2.33
      15     0.11          3.62          1.20
      20     0.08          1.71          0.67
      30     0.06          0.60          0.30
      40     0.04          0.28          0.17
      50     0.03          0.16          0.11

[[8]]
        crop
distance Ackerbau Obstbau frueh Obstbau spaet
      1      1.52            NA            NA
      3        NA         22.24          8.66
      5      0.31         14.09          4.92
      10     0.16          7.58          2.29
      15     0.11          3.48          1.14
      20     0.08          1.65          0.65
      30     0.05          0.57          0.29
      40     0.04          0.27          0.16
      50     0.03          0.15          0.11

</div></pre>
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