Plot data on top of map
Spatial objects in your R environment can also be added as map layers, provided that they have a CRS defined with a datum. We can use those data points on top of the leaflet in r map using the addMarkers() or the addPloygons() function depending on the type of dataset. If the dataset is single-dimensional we use markers and for multidimensional data we use polygons.
# Load necessary libraries
library(leaflet)
# Create a leaflet map
my_map <- leaflet() %>%
addTiles() %>%
setView(lng = 0, lat = 0, zoom = 2)
# Sample data
data <- data.frame(
lng = c(0, 10, -20),
lat = c(0, 15, -10),
value = c(100, 200, 150)
)
# Add circle markers based on the sample data
my_map <- my_map %>%
addCircleMarkers(
data = data,
lng = ~lng,
lat = ~lat,
radius = ~sqrt(value) * 2,
color = "red",
fillOpacity = 0.7,
popup = ~paste("Value: ", value)
)
# Display the map
my_map
Output:
Conclusion
The leaflet
in R provides a versatile and powerful tool for creating interactive and visually appealing maps. leaflet in r seamlessly integrates with the popular Leaflet JavaScript library, allowing R users to generate interactive maps with ease. Here are some key points to conclude the benefits and features of the leaflet
package.
Leaflet package in R
The leaflet is one of the most popular open-source JavaScript libraries for mobile-friendly interactive maps. It’s used widely by many top organizations in the world. To use leaflet in r functionality in the R Programming Language, we have the leaflet package library. The leaflet in r package is an easy-to-use library that is designed with simplicity, performance, and usability all around.
Table of Content
- Features of the leaflet in R
- Installation of leaflet in R
- Creating Interactive maps using leaflet leaflet in R
- Adding tiles to map
- Adding Markers on Map
- Layer Control
- Plot data on top of map