weeds.covariates: Covariate grid for Dubbo weed data

In DSpat: Spatial Modelling for Distance Sampling Data

Description

Grid (1 sq meter) of covariates for farm paddock in Dubbo weed data.

Usage

data(weeds.covariates)

Format

A data frame with 120 x 120 observations on the following 4 variables.

x

x coordinate for mid-point of grid cell

y

y coordinate for mid-point of grid cell

sheep

0 if no sheep and 1 if sheep were present on the transect

strip

transect number 1 to 8

Details

This is the constructed set of covariates for the farm paddock for the weeds data that were provided by Melville and Welsh (see reference below) that were used in the Biometrics paper on distance sampling.

The code used to create the covariate grid was as follows:

xx=expand.grid(seq(5,1195,10),seq(5,1195,10))
weeds.covariates=data.frame(x=xx$Var2,y=xx$Var1,
                 sheep=rep(c(0,1),each= 120^2/2),
                 strip=rep(c(1,2,3,4,5,6,7,8),each=120^2/8))
save(weeds.covariates,file="weeds.covariates.rda")

References

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

DSpat documentation built on May 2, 2019, 11:10 a.m.