create_scenarios_ccrw: Create Constrained Correlated Random Walk Scenarios (CCRW)

In picardis/fidelity: Generate Null Expectations for Animal Site Fidelity

Create Constrained Correlated Random Walk Scenarios (CCRW)

Description

Function to generate one or more Constrained Correlated Random Walk scenario/s.

Usage

create_scenarios_ccrw(rho, boundary_size)

Arguments

rho	Numeric vector (of any length) of autocorrelation parameter values
boundary_size	Numeric vector (of any length) specifying values for the size of the bounding box (length of the side). Units should be m if the user intends to use UTM coordinates for the simulation or degrees for lat/long.

Value

Returns a data frame describing scenario/s, one row per scenario using all possible combinations of the specified parameter values, for a total of length(rho) * length(boundary_size) rows. Includes columns rho, boundary_size, habitat_effect (set to NA because not applicable to CCRW), beta (set to NA because not applicable to CCRW), lands (set to NA because not applicable to CCRW), and scenario_id (unique identifier for the scenario).

picardis/fidelity documentation built on Dec. 10, 2022, 6:16 a.m.