Kernel density applied to the quantitative assessment of geodiversity

Detalhes bibliográficos
Autor(a) principal: Forte, João
Data de Publicação: 2018
Outros Autores: Brilha, J. B., Pereira, D. I., Nolasco, Marjorie
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/49903
Resumo: The development of research involving the geodiversity concept has been growing in the last two decades. The quantification of spatial patterns of geodiversity seems to be one of the most promising lines of research related with natural diversity, since it explores the relations between abiotic elements. This last aspect can be crucial, not only for territorial management, but also for conservation initiatives associated with biodiversity. The main aim of this study was to develop a new GIS procedure, based on centroid analysis, to calculate a geodiversity index, using kernel density, and to test its application in two municipalities with different area surfaces and geological setting. The proposed method is an upgrade of those previously published based on a spatial grid system at a landscape scale. The results of this method show that it is possible to obtain a spatial geodiversity standard that reflects the spatial variation of natural abiotic elements on both territories and that lithology and geomorphology are the key drivers that control the geodiversity index. In addition, the testing procedures have demonstrated that this method can be applied to areas with any geological and geomorphological setting and at different scales and also to be a useful tool for land use planning.
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spelling Kernel density applied to the quantitative assessment of geodiversityGeodiversityAssessmentSpatial scaleGISCentroid analysisKernel densityCiências Naturais::Ciências da Terra e do AmbienteScience & TechnologyThe development of research involving the geodiversity concept has been growing in the last two decades. The quantification of spatial patterns of geodiversity seems to be one of the most promising lines of research related with natural diversity, since it explores the relations between abiotic elements. This last aspect can be crucial, not only for territorial management, but also for conservation initiatives associated with biodiversity. The main aim of this study was to develop a new GIS procedure, based on centroid analysis, to calculate a geodiversity index, using kernel density, and to test its application in two municipalities with different area surfaces and geological setting. The proposed method is an upgrade of those previously published based on a spatial grid system at a landscape scale. The results of this method show that it is possible to obtain a spatial geodiversity standard that reflects the spatial variation of natural abiotic elements on both territories and that lithology and geomorphology are the key drivers that control the geodiversity index. In addition, the testing procedures have demonstrated that this method can be applied to areas with any geological and geomorphological setting and at different scales and also to be a useful tool for land use planning.Acknowledgements This work is co-funded by the European Union through the European Regional Development Fund, based on COMPETE 2020 (Programa Operacional da Competitividade e Internacionalização), project ICT (UID/GEO/04683/2013) with reference POCI-01-0145-FEDER-007690 and national funds provided by Fundação para a Ciência e Tecnologia. The first author received a PhD grant from Fundação para a Ciência e Tecnologia (REF. SFRH/BD/ 64533/2009).info:eu-repo/semantics/publishedVersionSpringerUniversidade do MinhoForte, JoãoBrilha, J. B.Pereira, D. I.Nolasco, Marjorie2018-012018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/49903engForte, J. P., Brilha, J., Pereira, D. I., & Nolasco, M. (2018, January 24). Kernel Density Applied to the Quantitative Assessment of Geodiversity. Geoheritage. Springer Science and Business Media LLC. http://doi.org/10.1007/s12371-018-0282-31867-24771867-248510.1007/s12371-018-0282-3info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:41:04Zoai:repositorium.sdum.uminho.pt:1822/49903Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:37:58.559939Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Kernel density applied to the quantitative assessment of geodiversity
title Kernel density applied to the quantitative assessment of geodiversity
spellingShingle Kernel density applied to the quantitative assessment of geodiversity
Forte, João
Geodiversity
Assessment
Spatial scale
GIS
Centroid analysis
Kernel density
Ciências Naturais::Ciências da Terra e do Ambiente
Science & Technology
title_short Kernel density applied to the quantitative assessment of geodiversity
title_full Kernel density applied to the quantitative assessment of geodiversity
title_fullStr Kernel density applied to the quantitative assessment of geodiversity
title_full_unstemmed Kernel density applied to the quantitative assessment of geodiversity
title_sort Kernel density applied to the quantitative assessment of geodiversity
author Forte, João
author_facet Forte, João
Brilha, J. B.
Pereira, D. I.
Nolasco, Marjorie
author_role author
author2 Brilha, J. B.
Pereira, D. I.
Nolasco, Marjorie
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Forte, João
Brilha, J. B.
Pereira, D. I.
Nolasco, Marjorie
dc.subject.por.fl_str_mv Geodiversity
Assessment
Spatial scale
GIS
Centroid analysis
Kernel density
Ciências Naturais::Ciências da Terra e do Ambiente
Science & Technology
topic Geodiversity
Assessment
Spatial scale
GIS
Centroid analysis
Kernel density
Ciências Naturais::Ciências da Terra e do Ambiente
Science & Technology
description The development of research involving the geodiversity concept has been growing in the last two decades. The quantification of spatial patterns of geodiversity seems to be one of the most promising lines of research related with natural diversity, since it explores the relations between abiotic elements. This last aspect can be crucial, not only for territorial management, but also for conservation initiatives associated with biodiversity. The main aim of this study was to develop a new GIS procedure, based on centroid analysis, to calculate a geodiversity index, using kernel density, and to test its application in two municipalities with different area surfaces and geological setting. The proposed method is an upgrade of those previously published based on a spatial grid system at a landscape scale. The results of this method show that it is possible to obtain a spatial geodiversity standard that reflects the spatial variation of natural abiotic elements on both territories and that lithology and geomorphology are the key drivers that control the geodiversity index. In addition, the testing procedures have demonstrated that this method can be applied to areas with any geological and geomorphological setting and at different scales and also to be a useful tool for land use planning.
publishDate 2018
dc.date.none.fl_str_mv 2018-01
2018-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/49903
url https://hdl.handle.net/1822/49903
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Forte, J. P., Brilha, J., Pereira, D. I., & Nolasco, M. (2018, January 24). Kernel Density Applied to the Quantitative Assessment of Geodiversity. Geoheritage. Springer Science and Business Media LLC. http://doi.org/10.1007/s12371-018-0282-3
1867-2477
1867-2485
10.1007/s12371-018-0282-3
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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