Description Usage Arguments Value Examples
Generate NCI over space and time
| 1 2 3 4 5 6 7 8 9 10 11 12 13 | generateNCI(
  grid = 20,
  Nt = 50,
  timestep = 30,
  muNCI = 124,
  sigmaNCI = 26,
  alpha = -1.32,
  beta = 0.003,
  mu = 0.749,
  sigma = 2.651,
  lambda = 0.31,
  d = 3
)
 | 
| grid | int. Number of cells per side of the matrix. | 
| Nt | int. Number of time-steps. | 
| timestep | int. Time-step length in years. | 
| muNCI | double. mu parameter for the normal distribution used for NCI. | 
| sigmaNCI | double. sigma parameter for the normal distribution used for NCI. | 
| alpha | double. Intercept for the Bernoulli distribution determining the risk to have a negative deltaNCI. | 
| beta | double. Slope of previous NCI for the Bernoulli distribution determining the risk to have a negative deltaNCI. | 
| mu | double. mu parameter for the lognormal distribution used for positive deltaNCI. | 
| sigma | double. sigma parameter for the lognormal distribution used for positive deltaNCI. | 
| lambda | double. lambda parameter for the exponential distribution used for negative deltaNCI. | 
| d | int. Spatial auto-correlation size in number of cells. | 
A data frame with columns Time, X, Y and NCI.
| 1 | 
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