Calibration metrics and algorithms

Version: 0.5.5
License: LGPL-3
Release: 02/08/2018
Authors: Antonio Oliveira Jr, Pedro R. Andrade, Claus Aranha
URL: https://github.com/pedro-andrade-inpe/calibration
Contact: junior092006@hotmail.com, pedro.andrade@inpe.br, caranha@cs.tsukuba.jp

A package with functions for calibrating spatial models. It contains goodness-of-fit metrics as well as an automatic calibration feature using a genetic algorithm called SaMDE (Self-Adaptive Mutation in the Differential Evolution).

Types

Type	Description
MultipleRuns	The Multiple Runs type has various model execution strategies, that can be used by the modeler to compare the results of a model and analyze it's behavior in different scenarios.
SAMDE	Type to calibrate a model using genetic algorithm.

Functions

Function	Description
GoodnessOfFit	Goodness-of-fit metrics.
Utils	Useful functions that are used by MultipleRuns and SAMDE.

Examples

Example	Description
broeke	An implementation of the model described in ten Broeke, Guus, George van Voorn, and Arend Ligtenberg.
costanza	Basic example for testing goodness-of-fit.
daisy	Daisyworld example using multiple Runs factorial strategy.
fire-average	Fire in the forest example using multiple runs repeateated strategy.
moving-agents	Example that uses MultipleRuns to compute wow many cells agents moving randomly can reach.
sir-mr-campaign	Multiple simulations of a Susceptible-Infected-Recovered (SIR) model with a public campaign.
sir-mr-probability	Investigating the probability of infection in a Susceptible-Infected-Recovered (SIR) model.
sir-samde-fit	Infection example using SaMDE, simulates an infection spreading inside a school.
sir-samde-max-infected	An example of a bad calibration.
sir-samde-point	Calibration of a SIR model using a single point.
yeast-mr	Basic example for testing MultipleRuns using Yeast model.
yeast-samde	Basic example for SAMDE using Yeast model.

Data

Data	Description
costanza.pgm	Example of a CellularSpaces for multi resolution goodness-of-fit metric.