contCA00: Simulated 7 state (1+1)D field

In LICORS: Light Cone Reconstruction of States - Predictive State Estimation From Spatio-Temporal Data

Description

Simulated 7 state (1+1)D field

Format

Contains the running example dataset used in hard LICORS & mixed LICORS.

A list with three (1+1)D fields, each one extending over N = 100 pixels in space, and T = 200 over time:

• observed

• states

• predictive_states

References

arxiv.org/abs/1206.2398

Examples

# set original par parameters
op <- par(no.readonly = TRUE)

data(contCA00)
par(mfrow = c(2, 2), mar = c(3, 3, 2, 1))
for (ii in 1:3) {
    image2(contCA00[[ii]], legend = FALSE, col = "RdBu", main = attr(summary(contCA00), 
        "dimnames")[[1]][ii])
    mtext("Time", 1, 1)
    mtext("Space", 2, 1)
}
par(op)
## Not run: 
LC_geom <- setup_LC_geometry(speed = 1, horizon = list(PLC = 2, FLC = 0), 
    shape = "cone")
bb <- data2LCs(contCA00$observed, LC.coordinates = LC_geom$coordinates)
image2(bb$PLC)
image2(cor(bb$PLC), zlim = c(-1, 1), col = "RdBu")
mod_kk <- kmeanspp(bb$PLC, k = 10)
plot(bb$FLC, col = mod_kk$cluster, pch = ".", cex = 3)

ff <- estimate_LC_pdfs(bb$FLC, states = mod_kk$cluster, method = "nonparametric")
matplot(bb$FLC, ff, pch = ".", cex = 2)

## End(Not run)

LICORS documentation built on May 1, 2019, 10:13 p.m.