briskaR (version 0.1.2)

simulateThickMargins: simulateThickMargins Method

Description

Simulate thick margins as receptors in a landscape.

Usage

simulateThickMargins(objectL, ...)
# S4 method for Landscape
simulateThickMargins(objectL, border_size = 200,
  prob = runif(1, 0.1, 0.9), mean_thickness = runif(1, 2, 20),
  v_thickness = 50)

Arguments

objectL

A Landscape object

...

other parameters

border_size

A numeric, bbox margin

prob

Probability to inflate a margin

mean_thickness

Margin width expectation in meter

v_thickness

Margin width variance in meter

Value

a Landscape object with fields margin as receptor

Details

Margin width use a Gamma distribution with shape and scale parameters based on thickness mean and variance.

See Also

simulateInitialPartition and simulateLandscape

Examples

# NOT RUN {
data(maize_65)
plot(maize.landscape)
landscape.margin <- simulateThickMargins(maize.landscape)
plot(landscape.margin) 
# }