ediblecity (version 0.2.2)

edible_volunteers: The number of volunteers involved in urban agriculture in your city

Description

This indicator estimates the number of volunteers potentially involved in community urban agriculture initiatives in your city. It uses a range of volunteers per square meter to create the median and the confidence interval of the number of volunteers by simulating a random uniform distribution of 1000 values within the provided range. The default range came from required work hours in urban agriculture assessed in scientific literature, assuming that a volunteers dedicates a 10

Usage

edible_volunteers(
  x,
  volunteers = c(0.00163, 0.22),
  edible = NULL,
  area_col = "edible_area",
  interval = 0.95,
  verbose = FALSE
)

Value

If verbose is FALSE, it returns a named vector with the median and the low and high confidence intervals. Otherwise, it returns a vector of length 1000 with all simulated values.

Arguments

x

An 'sf' object with the urban model of your city and a 'land_use' column with categories of urban features.

volunteers

A vector of length 2 with the range of volunteers involved by square meter of edible gardens.

edible

The categories in 'land_uses' that represent community edible gardens. If NULL, land_uses from 'city_land_uses' dataset area used where volunteers is TRUE.

area_col

The column to be used as the area of each feature. If NULL, the area is calculated with sf::st_area().

interval

A numeric value with the confidence interval returned by the function.

verbose

If TRUE, the indicators returns a vector (N=1000) with all simulated values.

Author

Josep Pueyo-Ros

Examples

# Get the 95% confidence interval
edible_volunteers(city_example, interval = 0.95)

# Get the raw values from the Monte Carlo simulation
# and adjust the number of volunteers by squared meter.
result <- edible_volunteers(city_example, volunteers = c(0.1, 0.2), verbose = TRUE)
result[1:10]