#mapping section load the below libraries
library(ggplot2)
library(leaflet)
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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## ✔ forcats 1.0.1 ✔ stringr 1.6.0
## ✔ lubridate 1.9.5 ✔ tibble 3.3.1
## ✔ purrr 1.2.1 ✔ tidyr 1.3.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
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## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(dplyr)
pelicount <- read.csv("/Users/pennybeaver/Library/Mobile Documents/com~apple~CloudDocs/COAST/Pelicount/Pelicount 2026.csv")
#convert lat and lon to numbers
pelicount$Latitude <- as.numeric(pelicount$Latitude)
library(htmltools)
library(glue)
label_text <- glue("<b>Number of Pelicans: <b> {pelicount$Count}<b>")
#create the final map
leaflet(pelicount) %>% addTiles() %>%
addCircleMarkers(~Longitude, ~Latitude, clusterOptions = markerClusterOptions(),
radius = 5, color = "red", fillOpacity = 0.3, label = pelicount$Count,
popup = label_text)
#Map of Australian pelican's counted in January 2026 for a citizen science project managed by COAST.You can scroll in and out and hover over purple points to get the number of pelicans counted in each location.