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dc.contributor.authorBarreira González, Pablo
dc.contributor.authorAguilera Benavente, Francisco
dc.contributor.authorGómez Delgado, Montserrat
dc.date.accessioned2019-02-21T17:08:02Z
dc.date.available2019-02-21T17:08:02Z
dc.date.issued2015-03-01
dc.identifier.bibliographicCitationEnvironmental Modelling and Software, 2015, v. 69, p. 77-89en
dc.identifier.issn1364-8152
dc.identifier.urihttp://hdl.handle.net/10017/36010
dc.description.abstractCellular Automata (CA) based models have a high aptitude to reproduce the characteristics of urban processes and are useful to explore future scenarios. However, validation of their results poses a major challenge due to the absence of real future data with which to compare them. A partial validation applied to a CA-based model for the Madrid Region (Spain) is presented as a proposal for determining the influence of given factors on the results and testing their spatial variability. Several simulations of the model were computed by different combinations of factors, and results were compared using flexible map comparison methods in order to study spatial pattern matches and similarities between them. Main and total effects of these factors were calculated for each method, by applying a simplified Global Sensitivity Analysis approach. Frequency maps showing the most frequent cells with changed land use in the results were generated.en
dc.description.sponsorshipMinisterio de Economía y Competitividades_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)en
dc.rights©Elsevier, 2015en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectCellular automata modelsen
dc.subjectUrban growthen
dc.subjectPartial validationen
dc.subjectMap comparisonen
dc.subjectFrequency mapsen
dc.titlePartial validation of cellular automata based model simulations of urban growth: an approach to assessing factor influence using spatial methodsen
dc.typeinfo:eu-repo/semantics/articleen
dc.subject.ecienciaGeografíaes_ES
dc.subject.ecienciaGeographyen
dc.contributor.affiliationUniversidad de Alcalá. Departamento de Geología, Geografía y Medio Ambientees_ES
dc.date.updated2019-02-21T17:05:26Z
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1016/j.envsoft.2015.03.008 1364-8152
dc.relation.projectIDCSO2012-38158-C02-01 (Ministerio de Economía y Competitividad)es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.uxxiAR/0000020979
dc.identifier.publicationtitleEnvironmental Modelling and Softwareen
dc.identifier.publicationlastpage89
dc.identifier.publicationissue69
dc.identifier.publicationfirstpage77


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Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Este ítem está sujeto a una licencia Creative Commons.