The 'leaflet' JavaScript library provides many plugins some of which
    are available in the core 'leaflet' package, but there are many more. It is not
    possible to support them all in the core 'leaflet' package. This package serves
    as an add-on to the 'leaflet' package by providing extra functionality via 'leaflet'
    plugins.

Several 'leaflet' plugins are integrated, which are available as extension to the 'leaflet' package.

Add and modify small charts on an interactive map created with 
    package 'leaflet'. These charts can be used to represent at same time multiple 
    variables on a single map.

Contains third-party map tile provider information from
    'Leaflet.js', <https://github.com/leaflet-extras/leaflet-providers>,
    to be used with the 'leaflet' R package. Additionally,
    'leaflet.providers' enables users to retrieve up-to-date provider
    information between package updates.

Provides 'sf' data for Chinese provinces and cities,
  methods for plotting shape maps of Chinese provinces and cities,
  Convert Coordinates Between Different Systems,
  and a layer for 'leaflet' with Gaode tiles.
  It is designed to facilitate geographical data visualization in China.

A collection of tools for interactive manipulation of (spatial) data 
    layers on leaflet web maps. Tools include editing of existing layers, creation 
    of new layers through drawing of shapes (points, lines, polygons), deletion 
    of shapes as well as cutting holes into existing shapes. Provides control over 
    options to e.g. prevent self-intersection of polygons and lines or to enable/disable 
    snapping to align shapes.

Creates 'HTML' strings to embed tables, images or graphs in pop-ups
  of interactive maps created with packages like 'leaflet' or 'mapview'. Handles
  local images located on the file system or via remote URL. Handles graphs created 
  with 'lattice' or 'ggplot2' as well as interactive plots created with 'htmlwidgets'.

A set of functions for analyzing the structure 
  of forests based on the leaf area density (LAD) and leaf area index (LAI) measures 
  calculated from Airborne Laser Scanning (ALS), i.e., scanning lidar (Light Detection 
  and Ranging) data. The methodology is discussed and described in 
  Almeida et al. (2019) <doi:10.3390/rs11010092> and 
  Stark et al. (2012) <doi:10.1111/j.1461-0248.2012.01864.x>.