@Article{BradleyRPAABBCCHSE:2016:SiMuMa,
author = "Bradley, A. V. and Rosa, I. M. D. and Pontius Junior, R. G. and
Ahmed, S. E. and Ara{\'u}jo, M. B. and Brown, D. G. and
Brand{\~a}o J{\'u}nior, A. and C{\^a}mara, Gilberto and
Carneiro, T. G. S. and Hartley, A. J. and Smith, M. J. and Ewers,
R. M.",
affiliation = "{Imperial College of London} and {Imperial College of London} and
{Clark University} and {Computational Science Laboratory} and
{Imperial College of London} and {University of Michigan} and
Imazon and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade Federal de Ouro Preto (UFOP)} and {Met Office Hadley
Centre} and {Microsoft Research} and {Imperial College of
London}",
title = "SimiVal, a multi-criteria map comparison tool for land-change
model projections",
journal = "Environmental Modelling and Software",
year = "2016",
volume = "82",
pages = "229--240",
month = "Aug.",
keywords = "Land-cover change, Land-cover modelling, Landscape metrics, Model
similarity, Quantity allocation, Validation.",
abstract = "The multiple uses of land-cover models have led to validation with
choice metrics or an ad hoc choice of the validation metrics
available. To address this, we have identified the major
dimensions of land-cover maps that ought to be evaluated and
devised a Similarity Validation (SimiVal) tool. SimiVal uses a
linear regression to test a modelled projection against benchmark
cases of, perfect, observed and systematic-bias, calculated by
rescaling the metrics from a random case relative to the observed,
perfect case. The most informative regression coefficients,
p-value and slope, are plot on a ternary graph of 'similarity
space' whose extremes are the three benchmark cases. SimiVal is
tested on projections of two deliberately contrasting land-cover
models to show the similarity between intra- and inter-model
parameterisations. We find metrics of landscape structure are
important in distinguishing between different projections of the
same model. Predictive and exploratory models can benefit from the
tool.",
doi = "10.1016/j.envsoft.2016.04.016",
url = "http://dx.doi.org/10.1016/j.envsoft.2016.04.016",
issn = "1364-8152",
language = "en",
targetfile = "bradley_simival.pdf",
urlaccessdate = "27 abr. 2024"
}