# Use the distribution in R
z <- 2
prob1To2 <- 0.2
prob2To3 <- 0.7
lowerCoords <- matrix(c(0, 0, 1, 0, 0, 1, 1, 1), nrow = 4, byrow = TRUE)
upperCoords <- matrix(c(1, 1, 2, 1, 1, 2, 2, 2), nrow = 4, byrow = TRUE)
logIntensities <- log(rep(1,4))
logSumIntensity <- log(sum(c(1:4)))
habitatGrid <- matrix(c(1:4), nrow = 2, byrow = TRUE)
numGridRows <- nrow(habitatGrid)
numGridCols <- ncol(habitatGrid)
s <- rbernppAC(n=1, lowerCoords, upperCoords, logIntensities, logSumIntensity,
habitatGrid, numGridRows, numGridCols)
## No spatial mortality
zPlusOne <- rcatState1Alive1Dead( z = z
, prob1To2 = prob1To2
, prob2To3 = prob2To3
, s = s
, habitatGrid = habitatGrid)
zPlusOne
dcatState1Alive1Dead( x = zPlusOne
, z = z
, prob1To2 = prob1To2
, prob2To3 = prob2To3
, s = s
, habitatGrid = habitatGrid)
## With spatial mortality
prob2To3Hab <- c(0.60, 0.70, 0.74, 0.65)
prob1To2Hab <- c(0.4,0.5,0.1,0.3)
zPlusOne <- rcatState1Alive1Dead( z = z
, prob1To2Hab = prob1To2Hab
, prob2To3Hab = prob2To3Hab
, s = s
, habitatGrid = habitatGrid)
zPlusOne
dcatState1Alive1Dead( x = zPlusOne
, z = z
, prob1To2Hab = prob1To2Hab
, prob2To3Hab = prob2To3Hab
, s = s
, habitatGrid = habitatGrid)
Run the code above in your browser using DataLab