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