SimiVal, a multi-criteria map comparison tool for land-change model projections.
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Date
2016
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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 systematicbias,
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.
Description
Keywords
Land-cover modelling, Validation, Landscape metrics, Land-cover change
Citation
BRADLEY, A. V. et al. SimiVal, a multi-criteria map comparison tool for land-change model projections. Environmental Modelling & Software, v. 82, p. 229-240, 2016. Disponível em: <https://www.sciencedirect.com/science/article/pii/S1364815216301116>. Acesso em: 16 jan. 2018.