nearest_greenspace: Calculate and Visualize the Shortest Walking Path to...

In greenR: Green Index Quantification, Analysis and Visualization

Calculate and Visualize the Shortest Walking Path to Specified Type of Nearest Green Space with Estimated Walking Time

Description

Determines the nearest specified type of green space from a given location and calculates the shortest walking route using the road network optimized for walking. The result is visualized on a Leaflet map displaying the path, the starting location, and the destination green space, with details on distance and estimated walking time.

Usage

nearest_greenspace(
  highway_data,
  green_areas_data,
  location_lat,
  location_lon,
  green_space_types = NULL,
  walking_speed_kmh = 4.5,
  osrm_server = "https://router.project-osrm.org/"
)

Arguments

highway_data	List containing road network data, typically obtained from OpenStreetMap.
green_areas_data	List containing green areas data, obtained from get_osm_data.
location_lat	Numeric, latitude of the starting location.
location_lon	Numeric, longitude of the starting location.
green_space_types	Vector of strings specifying types of green spaces to consider.
walking_speed_kmh	Numeric, walking speed in kilometers per hour, default is 4.5.
osrm_server	URL of the OSRM routing server with foot routing support, default is "https://router.project-osrm.org/".

Value

A Leaflet map object showing the route, start point, and nearest green space with popup annotations.

Examples

  data <- get_osm_data("Fulham, London, United Kingdom")
  highway_data <- data$highways
  green_areas_data <- data$green_areas
  map <- nearest_greenspace(highway_data, green_areas_data, 51.4761, -0.2008, c("park", "forest"))
  print(map) # Display the map

greenR documentation built on June 29, 2024, 9:07 a.m.