dens_est

The array of resource observations from the observation model, used to estimate abundance of resources

observation

The vector of parameters that hold global and dynamic parameter values used by GMSE

paras

This parameter determines the distance around an agent's location within which it can observe resources.

view

The landscape array on which interactions between resources and agents occur

land

Estimates population size using simulated data produced by the
observation model of GMSE -- it assumes that the density of resources
observed on the subset of the landscape sampled equals the density on the 
whole landscape.

Integrates game theory and ecological theory to construct
social-ecological models that simulate the management of populations and
stakeholder actions. These models build off of a previously developed
management strategy evaluation (MSE) framework to simulate all aspects of
management: population dynamics, manager observation of populations, manager
decision making, and stakeholder responses to management decisions. The
newly developed generalised management strategy evaluation (GMSE)
framework uses genetic algorithms to mimic the decision-making process of
managers and stakeholders under conditions of change, uncertainty, and
conflict. Simulations can be run using gmse(), gmse_apply(), and
gmse_gui() functions.

A. Bradley Duthie

GMSE

Generalised Management Strategy Evaluation Simulator

dens_est: Density estimator of resource abundance

Description

Usage

Arguments

Value

Examples