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Concentrations of selected herbicides and degradation products determined by laboratory method analysis code GCS for water samples collected from 51 streams in nine Midwestern States,2002

Usage

data("usgs.herbicides")

Format

A data frame with 184 observations on the following 19 variables.

mapnum

map number

usgsid

USGS ID

long

longitude

lat

latitude

site

site name

city

city

sampletype

sample type code

date

date sample was collected

hour

hour sample was collected

acetochlor

concentration as character

alachlor

concentration as character

ametryn

concentration as character

atrazine

concentration as character

CIAT

concentration as character

CEAT

concentration as character

cyanazine

concentration as character

CAM

concentration as character

dimethenamid

concentration as character

flufenacet

concentration as character

Details

Concentrations of selected herbicides and degradation products determined by laboratory method analysis code GCS for water samples collected from 51 streams in nine Midwestern States, 2002.

All concentrations are micrograms/liter, "<" means "less than". The data are in character format to allow for "<".

The original report contains data for more herbicides. This data is for illustrative purposes.

Sample types: CR = concurrent replicate sample, FB = field blank, LD = laboratory duplicate, S1 = sample from pre-emergence runoff, S2 = sample from post-emergence runoff, S3 = sample from harvest-season runoff.

Source

Scribner, E.A., Battaglin, W.A., Dietze, J.E., and Thurman, E.M., "Reconnaissance Data for Glyphosate, Other Selected Herbicides, their Degradation Products, and Antibiotics in 51 streams in Nine Midwestern States, 2002". U.S. Geological Survey Open File Report 03-217. Herbicide data from table 5, page 30-37. Site coordinates page 7-8. https://ks.water.usgs.gov/pubs/reports/ofr.03-217.html

References

None.

Examples

if (FALSE) { # \dontrun{
  
  library(agridat)
  data(usgs.herbicides)
  dat <- usgs.herbicides
  

  libs(NADA)
  # create censored data for one trait
  dat$y <- as.numeric(dat$atrazine)
  dat$ycen <- is.na(dat$y)
  dat$y[is.na(dat$y)] <- .05
  
  # percent censored
  with(dat, censummary(y, censored=ycen))
  # median/mean
  with(dat, cenmle(y, ycen, dist="lognormal"))
  # boxplot
  with(dat, cenboxplot(obs=y, cen=ycen, log=FALSE,
                       main="usgs.herbicides"))
  # with(dat, boxplot(y))
  pp <- with(dat, ros(obs=y, censored=ycen, forwardT="log")) # default lognormal
  plot(pp)


  plotfun <- function(vv){
    dat$y <- as.numeric(dat[[vv]])
    dat$ycen <- is.na(dat$y)
    dat$y[is.na(dat$y)] <- .01
    # qqnorm(log(dat$y), main=vv) # ordinary qq plot shows censored values
    pp <- with(dat, ros(obs=y, censored=ycen, forwardT="log"))
    plot(pp, main=vv) # omits censored values
  }
  op <- par(mfrow=c(3,3))
  vnames <- c("acetochlor", "alachlor", "ametryn", "atrazine","CIAT", "CEAT", "cyanazine", #"CAM",
              "dimethenamid", "flufenacet")
  for(vv in vnames) plotfun(vv)
  par(op)
  
} # }