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Soil Landscape Modelling – placing place in its place

dc.contributor.authorFonseca, Inês
dc.contributor.authorFreire, Sérgio
dc.contributor.authorBrasil, Ricardo
dc.contributor.authorRocha, Jorge
dc.contributor.authorTenedório, José A.
dc.date.accessioned2023-06-08T18:32:41Z
dc.date.available2023-06-08T18:32:41Z
dc.date.issued2013
dc.description.abstractLandscape variables, which are also factors of soil formation, can be combined with existing soil map data to train Artificial Neural Networks (ANNs) in order to predict soil types in unmapped areas. In this study, the impact of location data and proximity of the training data on the performance of ANN models, for two catchments in northern Portugal, is evaluated. Results are largely concurrent between catchments, indicating that using latitude and longitude data produces more accurate models, whilst taking into account the spatial autocorrelative properties of input data makes ANN models converge for a better “local” rather than “global” solution. The conclusion is that hillslopes show some degree of connectivity which is passed onto soils, and conforms to the principles of the catena concept.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFonseca, I.L., Freire, S., Brasil, R., Rocha, J., & Tenedório, J. (2013). Soil Landscape Modelling – placing place in its place, In. Adélia Nunes, Lúcio Cunha, João Santos, Anabela Ramos, Rui Ferreira, Isabel Paiva, Luca Dimuccio (Eds.), Proceedings of the VI Congresso Nacional de Geomorfologia: Geomorfologia – Novos e Velhos Desafios, (pp. 151-155), APGEOM. ISBN 978-989-96462-4-7.pt_PT
dc.identifier.isbn978-989-96462-4-7
dc.identifier.urihttp://hdl.handle.net/10451/58133
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherAPGEOMpt_PT
dc.subjectLandscapept_PT
dc.subjectArtificial Neural Networkspt_PT
dc.subjectSoil mapspt_PT
dc.subjectGeographical Information Systemspt_PT
dc.titleSoil Landscape Modelling – placing place in its placept_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.conferencePlaceCoimbra, Portugalpt_PT
oaire.citation.endPage155pt_PT
oaire.citation.startPage151pt_PT
oaire.citation.titleVI Congresso Nacional de Geomorfologia: Geomorfologia – Novos e Velhos Desafiospt_PT
person.familyNameRocha
person.givenNameJorge
person.identifier0000000069085031
person.identifier.ciencia-idEC15-76DC-9B96
person.identifier.orcid0000-0002-7228-6330
person.identifier.ridF-3185-2017
person.identifier.scopus-author-id56428061000
rcaap.rightsopenAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublication9c7dabc1-d6c6-4636-9293-6babe2ba64c9
relation.isAuthorOfPublication.latestForDiscovery9c7dabc1-d6c6-4636-9293-6babe2ba64c9

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