Simulated point-transect data

Response matrix of animals detected in five distance classes plus two covariates.

data(pointtran)

Format

A data frame with 30 observations on the following 7 variables.

dc1

Counts in distance class 1 [0-5 m)

dc2

Counts in distance class 2 [5-10 m)

dc3

Counts in distance class 3 [10-15 m)

dc4

Counts in distance class 4 [15-20 m)

dc5

Counts in distance class 5 [20-25 m)

area

a numeric vector

habitat

a factor with levels A B C

Examples

data(pointtran)
pointtran
#>   dc1 dc2 dc3 dc4 dc5     area habitat
#> 1   0   1   0   0   0 7.100135       A
#> 2   0   0   1   0   1 4.039711       A
#> 3   2   1   2   0   0 5.821971       A
#> 4   0   1   4   1   0 6.342220       A
#> 5   0   1   1   1   1 5.253868       A
#> 6   0   5   0   3   0 5.424741       A
#> 7   1   1   4   1   0 3.847850       A
#>  [ reached 'max' / getOption("max.print") -- omitted 23 rows ]

# Format for distsamp()
ptUMF <- with(pointtran, {
        unmarkedFrameDS(y = cbind(dc1, dc2, dc3, dc4, dc5), 
        siteCovs = data.frame(area, habitat), 
        dist.breaks = seq(0, 25, by=5), survey = "point", unitsIn = "m")
        })