Comments (2)
Seems so:
library(lubridate)
library(foieGras)
track <- data.frame(id = "bird",
date = seq(ymd_hms("2012-01-01 12:00:00"), ymd_hms("2012-01-03 12:00:00"), length.out = 40),
lc = "3",
lon = c(seq(150, 179, length.out = 20), seq(-179, -150, length.out = 20)),
lat = seq(-30, - 60, length.out = 40)
)
plot(track$lon, track$lat)
fit.track <- fit_ssm(track, time.step = 3, vmax = 1000)
plot(fit.track$ssm[[1]]$predicted$lon, fit.track$ssm[[1]]$predicted$lat)
# Wrap longitude back
fit.track$ssm[[1]]$predicted$lon <- wrap_lon(fit.track$ssm[[1]]$predicted$lon)
plot(fit.track$ssm[[1]]$predicted$lon, fit.track$ssm[[1]]$predicted$lat
from animotum.
issue fixed. fit_ssm/prefilter/sfilter now return longitude on original data interval [-180,180] or [0,360] but wraps appropriately for projection to mercator, prior to fitting SSM.
from animotum.
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from animotum.