View source: R/graph_marginal.R
graph_marginal | R Documentation |
Compute the marginal probability map from a graph. The computation uses the forward backward algorithm. For more details, see section 2.3.2 of Nussbaumer et al. (2023b) and the GeoPressureManual.
graph_marginal(graph, quiet = FALSE)
graph |
a GeoPressureR |
quiet |
logical to hide messages about the progress. |
A list of the marginal maps for each stationary period (even those not modelled). Best to
include within tag
.
Nussbaumer, Raphaël, Mathieu Gravey, Martins Briedis, Felix Liechti, and Daniel Sheldon. 2023. Reconstructing bird trajectories from pressure and wind data using a highly optimized hidden Markov model. Methods in Ecology and Evolution, 14, 1118–1129 https://doi.org/10.1111/2041-210X.14082.
Other graph:
graph_create()
,
graph_most_likely()
,
graph_set_movement()
,
graph_simulation()
,
print.graph()
withr::with_dir(system.file("extdata", package = "GeoPressureR"), {
tag <- tag_create("18LX", quiet = TRUE) |>
tag_label(quiet = TRUE) |>
twilight_create() |>
twilight_label_read() |>
tag_set_map(
extent = c(-16, 23, 0, 50),
known = data.frame(stap_id = 1, known_lon = 17.05, known_lat = 48.9)
) |>
geopressure_map(quiet = TRUE) |>
geolight_map(quiet = TRUE)
})
# Create graph
graph <- graph_create(tag, quiet = TRUE)
# Define movement model
graph <- graph_set_movement(graph)
# Compute marginal
marginal <- graph_marginal(graph)
plot(marginal)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.