## ----include=FALSE------------------------------------------------------------
knitr::opts_chunk$set(warning = FALSE, message = FALSE)

## -----------------------------------------------------------------------------
library(amt)
library(ggplot2)
library(tidygraph)
library(ggraph)

## -----------------------------------------------------------------------------
leroy <- amt_fisher |> filter(name == "Leroy")
lupe <- amt_fisher |> filter(name == "Lupe")

## -----------------------------------------------------------------------------
trast <- make_trast(amt_fisher |> filter(name %in% c("Leroy", "Lupe")), res = 50)

## -----------------------------------------------------------------------------
hr_leroy <- hr_kde(leroy, trast = trast, levels = c(0.5, 0.9))
hr_lupe <- hr_kde(lupe, trast = trast, levels = c(0.5, 0.9))

## -----------------------------------------------------------------------------
hr_overlap(hr_leroy, hr_lupe, type = "hr") 
hr_overlap(hr_lupe, hr_leroy, type = "hr")

## -----------------------------------------------------------------------------
hr_overlap(hr_leroy, hr_lupe, type = "phr", conditional = FALSE) 
hr_overlap(hr_lupe, hr_leroy, type = "phr", conditional = FALSE)

## -----------------------------------------------------------------------------
hr_overlap(hr_leroy, hr_lupe, type = "phr", conditional = TRUE) 
hr_overlap(hr_lupe, hr_leroy, type = "phr", conditional = TRUE)

## -----------------------------------------------------------------------------
hr_overlap(hr_lupe, hr_leroy, type = "vi", conditional = FALSE)
hr_overlap(hr_leroy, hr_lupe, type = "vi", conditional = FALSE)

## -----------------------------------------------------------------------------
trast <- make_trast(lupe, res = 50)

## -----------------------------------------------------------------------------
dat <- lupe |> 
  mutate(week = lubridate::floor_date(t_, "week")) |> 
  nest(data = -week) |> 
  mutate(kde = map(data, hr_kde, trast = trast, levels = c(0.5, 0.95, 0.99)))

## -----------------------------------------------------------------------------
hr_overlap(dat$kde, type = "vi")

## -----------------------------------------------------------------------------
hr_overlap(dat$kde, type = "vi", conditional = TRUE)

## -----------------------------------------------------------------------------
hr_overlap(dat$kde, type = "vi", labels = dat$week)

## ----eval = FALSE-------------------------------------------------------------
#  data("puechabon", package = "adehabitatLT")
#  dat <- puechabonsp$relocs |> as.data.frame() |>
#    make_track(X, Y, id = Name)
#  trast <- make_trast(dat, res = 50)
#  dat1 <- dat |> nest(data = -id) |>
#    mutate(kde = map(data, ~ hr_kde(., trast = trast, level = c(0.5, 0.9, 0.99))))

## ----fig.width=7, fig.height=7, eval = FALSE----------------------------------
#  ov2 <- hr_overlap(dat1$kde, type = "hr", labels = dat1$id, which = "all",
#                    conditional = TRUE) |>
#    filter(overlap > 0)
#  graph <- as_tbl_graph(ov2) |>
#    mutate(Popularity = centrality_degree(mode = 'in'))
#  
#  ggraph(graph, layout = 'stress') +
#    #geom_edge_fan(aes(col = overlap), show.legend = TRUE, arrow = arrow()) +
#    geom_edge_arc(aes(col = overlap), arrow = arrow(length = unit(4, 'mm'), type = "closed"),
#                  start_cap = circle(3, 'mm'),
#                  end_cap = circle(3, 'mm')) +
#    geom_node_point(size = 4) +
#    geom_node_label(aes(label = name), repel = TRUE, alpha = 0.7) +
#    facet_edges(~ levels, ncol = 2) +
#    theme_light() +
#    scale_edge_color_gradient(low = "blue", high = "red")

## -----------------------------------------------------------------------------
poly <- amt::bbox(lupe, buffer = -500, sf = TRUE)
poly1 <- amt::bbox(lupe, sf = TRUE)
hr <- hr_mcp(lupe)
ggplot() + geom_sf(data = hr_isopleths(hr)) + 
  geom_sf(data = poly, fill = NA, col = "red") +
  geom_sf(data = poly1, fill = NA, col = "blue")

## -----------------------------------------------------------------------------
hr_overlap_feature(hr, poly, direction = "hr_with_feature")
hr_overlap_feature(hr, poly1, direction = "hr_with_feature")

hr_overlap_feature(hr, poly, direction = "feature_with_hr")
hr_overlap_feature(hr, poly1, direction = "feature_with_hr")

## -----------------------------------------------------------------------------
hr <- hr_mcp(lupe, levels = c(0.5, 0.9, 0.95))
hr_overlap_feature(hr, poly, direction = "hr_with_feature")

## -----------------------------------------------------------------------------
sessioninfo::session_info()