Data set representing a simulated survey of the 40 x 40 study area.
Approximately 1/3 of the 1600 sites were visited at least once. Those sites
that were surveyed were visited a random number of times with an average of
2.5 visits. Detection was simulated as a function of 2 covariates, a
continuous one (cov1) and a factor (cov2). These are NOT the same as the
cov1 and cov2 of the habData data frame. The coefficients used were
`beta = c(1, 0, 0.5, 1, 0)`

. Thus detection given occupancy of site i
at time j = `pnorm(0,X%*%beta,lower=FALSE)`

.

A data frame with 1340 observations on the following 6 variables.

- site
Site labels

- x
Longitude coordinate

- y
Latitude coordinate

- detCov1
a numeric vector

- detCov2
a factor with levels

`0`

`1`

`2`

`3`

- obs
a numeric vector

1 2 3 4 5 6 7 8 9 | ```
data(visitData)
data(occupancyData)
##
## Blue points represent visited sites and green circles represent confirmed occupancy.
##
image(x=seq(0.5,39.5,1), y=seq(0.5,39.5,1), z=t(matrix(occupancyData$psi,40)),
xlab="x", ylab="y", main="Occupancy process with visits")
points(visitData$x[visitData$obs==1], visitData$y[visitData$obs==1], col="green")
points(visitData$x, visitData$y, col="blue", pch=20, cex=0.25)
``` |

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