Nothing
\donttest{
# Make toy temperature time series and coordinates
rr <- raster(vals=NA, nrows=5, ncols=5, xmn=500, xmx=1000, ymn=500, ymx=1000)
w <- as.data.frame(matrix(as.integer(seq(25,35,length.out=250)*1000),ncol=10))
cc <- coordinates(rr)
dd <- apply(as.matrix(dist(coordinates(cc[3:10,]))),2,function(x) round(x/1000,1)*1000)
colnames(dd) <- 3:10; row.names(dd) <- colnames(dd) ;row.names(cc) <- 1:25 ;row.names(w) <- 1:25
# Run the model (not workng)
mod <- dynamAedes.m(
species="albopictus",
scale="lc",
intro.juveniles=100,
jhwv=10,
temps.matrix=w,
cells.coords=cc,
road.dist.matrix=dd,
intro.cells=3,
startd="2021-06-21",
endd="2021-06-25",
lat=42,
long=10,
n.clusters=1,
iter=1,
cellsize=100,
maxadisp=500,
dispbins=10,
seeding=TRUE,
verbose=FALSE,
compressed.output=TRUE
)
# Derive estimates of mosquito dispersal of the simulated mosquito populations (only when scale = "lc") for any simulated day (in this case for 9 days from start and end of the simulate period).
dici(mod, coords=cc, eval_date=seq(1,3), breaks=c(0.25,0.50,0.975))
}
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