NOTE: May only render properly in google chrome
library(tidyverse)
library(leaflet)
library(leafpop)
minke <- read_csv("ftp://ftp.hafro.is/pub/data/csv/minke.csv")
leaflet() %>%
addTiles() %>%
addCircleMarkers(data = minke,
popup = popupTable(minke))
leaflet() %>%
addTiles() %>%
addCircleMarkers(data = minke,
popup = popupTable(minke,
zcol = c("length", "age", "sex"),
feature.id = FALSE,
row.numbers = FALSE))
img <- "https://heima.hafro.is/~einarhj/spatialr/img/participants.jpg"
leaflet() %>%
addTiles() %>%
setView(lng = 12.575754, lat = 55.671455, zoom = 15) %>%
addCircleMarkers(12.575754, 55.671455, popup = popupImage(img, src = "remote"))
st <-
read_csv("ftp://ftp.hafro.is/pub/data/csv/datras_2018_haul.csv") %>%
filter(survey == "NS-IBTS") %>%
select(id, lon = shootlong, lat = shootlat) %>%
sample_n(size = 20)
d <-
st %>%
left_join(read_csv("ftp://ftp.hafro.is/pub/data/csv/datras_2018_length.csv") %>%
filter(!is.na(latin)) %>%
group_by(id, latin) %>%
summarise(n = sum(n))) %>%
group_by(id) %>%
arrange(desc(n)) %>%
# top 10 species per station
slice(1:10) %>%
ungroup()
IDS <- unique(d$id)
l <- list()
for(i in 1:length(IDS)) {
l[[i]] <-
d %>%
filter(id %in% IDS[i]) %>%
ggplot(aes(reorder(latin, n), n)) +
geom_col() +
coord_flip() +
labs(x = NULL, y = NULL)
}
st$plot <- l
leaflet() %>%
addTiles() %>%
addCircleMarkers(data = st,
lng = ~lon,
lat = ~lat,
popup = popupGraph(st$plot, type = "png"))
gif <- "https://heima.hafro.is/~einarhj/spatialr/img/bardarbunga.gif"
leaflet() %>%
addTiles() %>%
setView(lng = -17.5, lat = 64.5, zoom = 7) %>%
addCircleMarkers(-17.5, 64.5, popup = popupImage(gif, src = "remote"))