ATQ (version 0.2.3)

elementary_pop: Create Elementary Schools population size

Description

Function to simulate elementary school size and assigns it to catchments. The school population is simulated using a specified distribution function, with gamma distribution as the default.

Usage

elementary_pop(df, dist_func = stats::rgamma, ...)

Value

A data frame with the following columns:

catchID

Identifier for the catchment area

schoolID

Unique identifier for each school

schoolPop

Simulated population of the school

xStart

Starting x-coordinate of the catchment area

xEnd

Ending x-coordinate of the catchment area

yStart

Starting y-coordinate of the catchment area

yEnd

Ending y-coordinate of the catchment area

Arguments

df

output data frame from catchment_sim function

dist_func

distribution function to simulate school population, default is stats::rgamma

...

additional arguments passed to the distribution function

Examples

# Simulate catchment areas
catch_df <- catchment_sim(16, 20, shape = 3.5, rate = 2.8)

# Simulate elementary schools using default gamma distribution
elementary_df1 <- elementary_pop(catch_df, shape = 5.1, rate = 0.015)

# Simulate elementary schools using normal distribution
elementary_df2 <- elementary_pop(catch_df, dist_func = stats::rnorm,
                                 mean = 300, sd = 50)

# Simulate elementary schools using Poisson distribution
elementary_df3 <- elementary_pop(catch_df, dist_func = stats::rpois,
                                 lambda = 250)