gssi: Green Space Similarity Index (GSSI)

In greenR: Green Index Quantification, Analysis and Visualization

Green Space Similarity Index (GSSI)

Description

This function calculates the Green Space Similarity Index (GSSI) for a list of cities, based on the variability of green space sizes and their connectivity. The function uses the spatstat package to calculate proximity measures and combines these with area-based metrics to form the GSSI. The index is useful for comparing urban green spaces across different cities.

Usage

gssi(green_spaces_list, equal_area_crs = "ESRI:54009")

Arguments

green_spaces_list	A list of 'sf' objects, each representing the green spaces in a city.
equal_area_crs	A character string representing an equal-area CRS for accurate area measurement. Default is "ESRI:54009".

Value

A numeric vector of normalized GSSI values for each city.

Examples

d1 <- get_osm_data("New Delhi, India")
dsf <- d1$green_areas$osm_polygons
d2 <- get_osm_data("Basel, Switzerland")
bsf <- d2$green_areas$osm_polygons
d3 <- get_osm_data("Medellin, Colombia")
msf <- d3$green_areas$osm_polygons
cities_data <- list(dsf, bsf, msf)
gssi_values <- gssi(cities_data)

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