Dubbo weed data with constructed y-coordinate

Description

Locations of devils claw in a farming paddock. Locations to all weeds are given as x,y coordinates and are contained in one of eight 150m wide transects (75m each side). The weeds seen by observers are specified as Seen=1.

Usage

1

Format

A data frame with 742 observations on the following 5 variables.

label

label of the transect 1 to 8

x

x coordinate along horizontal (east-west) of 1200m x 1200m paddock

y

y coordinate along vertical (north-south) of 1200m x 1200m paddock

distance

absolute perpendicular distance from line

Seen

weed was seen if 1 and 0 if missed

Details

The data provided from Melville and Welsh did not have the y-coordinate. We have constructed y-coordinates by drawing randomly from a uniform distribution in the y-direction such that no two weeds are at the exact same location. The code used to create weeds.all was as follows:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
data(weeds)
# Fudge the data ever so slightly to appease spatstat so the transects don't abut
# and all points are contained within the strips.
weeds$SignedDistance[weeds$SignedDistance==75]=74.99
weeds$SignedDistance[weeds$SignedDistance==-75]=-74.99
weeds.all=data.frame(label=weeds$Transect, x=(weeds$Transect-1)*150+75
               +weeds$SignedDistance, y=floor(runif(dim(weeds)[1])*1200),
               distance=weeds$Distance, Seen=weeds$Seen)
while(any(duplicated(data.frame(x=weeds.all$x,y=weeds.all$y))))
{
  npts=sum(as.numeric(any(duplicated(data.frame(x=weeds.all$x,y=weeds.all$y)))))
  weeds.all$y[duplicated(data.frame(x=weeds.all$x,y=weeds.all$y))]=
                                                               runif(npts)*1200
}
save(weeds.all,file="weeds.all.rda")

See weeds for more details.

References

Melville, G. J., and A. H. Welsh. 2001. Line transect sampling in small regions. Biometrics 57:1130-1137.

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.