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Validation of Land Use Cover Maps: A Guideline

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dc.contributor.authorCamacho Olmedo, María Teresa
dc.contributor.authorGarcía Álvarez, David
dc.contributor.authorGallardo Beltrán, Marta
dc.contributor.authorMas, Jean Francois
dc.contributor.authorPaegelow, Martin
dc.contributor.authorCastillo Santiago, Miguel Ángel
dc.contributor.authorMolinero Parejo, Ramón
dc.contributor.editorGarcía Álvarez, D.
dc.contributor.editorCamacho Olmedo, MT
dc.contributor.editorPaegelow, M
dc.contributor.editorMas, JF
dc.contributor.orcidhttps://orcid.org/0000-0003-3178-1543
dc.contributor.orcidhttps://orcid.org/0000-0003-3611-8003
dc.contributor.orcidhttps://orcid.org/0000-0002-6138-9879
dc.contributor.orcidhttp://orcid.org/0000-0001-9254-5312
dc.contributor.orcidhttps://orcid.org/0000-0002-3024-5514
dc.contributor.orcidhttp://orcid.org/0000-0001-7406-8604
dc.date.accessioned2024-07-17T08:20:06Z
dc.date.available2024-07-17T08:20:06Z
dc.date.issued2022
dc.description.abstractThis chapter offers a general overview of the available tools and strategies for validating Land Use Cover (LUC) data—specifically LUC maps—and Land Use Cover Change Modelling (LUCCM) exercises. We give readers some guidelines according to the type of maps they want to validate: single LUC maps (Sect. 3), time series of LUC maps (Sect. 4) or the results of LUCCM exercises (Sect. 5). Despite the fact that some of the available methods are applicable to all these maps, each type of validation exercise has its own particularities which must be taken into account. Each section of this chapter starts with a brief introduction about the specific type of maps (single, time series or modelling exercises) and the reference data needed to validate them. We also present the validation methods/functions and the corresponding exercises developed in Part III of this book. To this end, we address, in this order, the tools for validating Land Use Cover data based on basic and Multiple-Resolution Cross-Tabulation (see chapter “Basic and Multiple-Resolution Cross Tabulation to Validate Land Use Cover Maps”), metrics based on the Cross-Tabulation matrix (see chapter “Metrics Based on a Cross-Tabulation Matrix to Validate Land Use Cover Maps”), Pontius Jr. methods based on the Cross-Tabulation matrix (see chapter “Pontius Jr. Methods Based on a Cross-Tabulation Matrix to Validate Land Use Cover Maps”), validation practices with soft maps produced by Land Use Cover models (see chapter “Validation of Soft Maps Produced by a Land Use Cover Change Model”), spatial metrics (see chapter “Spatial Metrics to Validate Land Use Cover Maps”), advanced pattern analysis (see chapter “Advanced Pattern Analysis to Validate Land Use Cover Maps”) and geographically weighted methods (see chapter “Geographically Weighted Methods to Validate Land Use Cover Maps”).en
dc.identifier.citationCamacho Olmedo, M.T. et al. (2022). Validation of Land Use Cover Maps: A Guideline. In: García-Álvarez, D., Camacho Olmedo, M.T., Paegelow, M., Mas, J.F. (eds) Land Use Cover Datasets and Validation Tools. Springer, Cham. https://doi.org/10.1007/978-3-030-90998-7_3
dc.identifier.doihttps://doi.org/10.1007/978-3-030-90998-7_3
dc.identifier.isbn9783030909970, 9783030909987
dc.identifier.urihttps://hdl.handle.net/20.500.14468/22981
dc.language.isoen
dc.page.final46
dc.page.initial35
dc.publisherSpringer
dc.relation.centerFacultades y escuelas::Facultad de Geografía e Historia
dc.relation.departmentGeografía
dc.relation.ispartofLand Use Cover Data and Validation Tools
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.es
dc.subject54 Geografía
dc.subject.keywordsLand Use Coveren
dc.subject.keywordsLand Use Cover Change Modelling exercisesen
dc.subject.keywordsValidationen
dc.titleValidation of Land Use Cover Maps: A Guidelineen
dc.typecapítulo de libroes
dc.typebook parten
dspace.entity.typePublication
relation.isAuthorOfPublication825b4b7b-503b-44d1-92cd-f23b0beeea2c
relation.isAuthorOfPublication.latestForDiscovery825b4b7b-503b-44d1-92cd-f23b0beeea2c
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