ediblecity (version 0.2.2)

food_production: The food produced by urban agriculture in your city

Description

This indicator estimates the food (in kg/year) produced by urban agriculture initiatives in your city. It uses a range of production for each type of initiative to create the median and the confidence interval of the number of jobs by simulating a random uniform distribution of 1000 values within the provided range.

Usage

food_production(
  x,
  edible_df = 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 (in kg/year). Otherwise, it returns a vector of length 1000 with all simulated values (in kg/year)

Arguments

x

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

edible_df

A dataframe of categories that are considered as urban agriculture with three columns:

1. 'land_uses': Column with the land_use to be considered in the calculations corresponding to 'land_use' column in 'x'.

2. 'food1': The low range of food production in each land_use (in kg/year/m2).

3. 'food2': The high range of food production of each land_use (in kg/year/m2).

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 land_use.

verbose

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

Author

Josep Pueyo-Ros

Examples

# Estimate the food production within 95% confidence interval
food_production(city_example, interval = 0.95, verbose = FALSE)

# Get the raw values instead of the confidence interval
result <- food_production(city_example, verbose = TRUE)
result[1:10]