Multi-objective optimisation framework for calibration of Cellular Automata land-use models

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dc.contributor.authorNewland, C.
dc.contributor.authorMaier, H.
dc.contributor.authorZecchin, A.
dc.contributor.authorNewman, J.
dc.contributor.authorvan Delden, H.
dc.date.issued2018
dc.description.abstractModelling of land-use change plays an important role in many areas of environmental planning. However, land-use change models remain challenging to calibrate, as they contain many sensitive parameters, making the calibration process time-consuming. We present a multi-objective optimisation framework for automatic calibration of Cellular Automata land-use models with multiple dynamic land-use classes. The framework considers objectives related to locational agreement and landscape pattern structure, as well as the inherent stochasticity of land-use models. The framework was tested on the Randstad region in the Netherlands, identifying 77 model parameter sets that generated a Pareto front of optimal trade-off solutions between the objectives. A selection of these parameter sets was assessed further based on heuristic knowledge, evaluating the simulated output maps and parameter values to determine a final calibrated model. This research demonstrates that heuristic knowledge complements the evaluation of land-use models calibrated using formal optimisation methods.
dc.description.statementofresponsibilityCharles P. Newland, Holger R. Maier, Aaron C. Zecchin, Jeffrey P. Newman, Hedwig van Delden
dc.identifier.citationEnvironmental Modelling and Software, 2018; 100:175-200
dc.identifier.doi10.1016/j.envsoft.2017.11.012
dc.identifier.issn1364-8152
dc.identifier.issn1873-6726
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]
dc.identifier.orcidZecchin, A. [0000-0001-8908-7023]
dc.identifier.orcidvan Delden, H. [0000-0001-6976-4832]
dc.identifier.urihttp://hdl.handle.net/2440/119064
dc.language.isoen
dc.publisherElsevier
dc.rights© 2017 Elsevier Ltd. All rights reserved.
dc.source.urihttps://doi.org/10.1016/j.envsoft.2017.11.012
dc.subjectCellular Automata; land-use model; automatic calibration; automatic parameter adjustment; multi-objective optimisation
dc.titleMulti-objective optimisation framework for calibration of Cellular Automata land-use models
dc.typeJournal article
pubs.publication-statusPublished

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