Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/49903

TítuloKernel density applied to the quantitative assessment of geodiversity
Autor(es)Forte, João
Brilha, J. B.
Pereira, D. I.
Nolasco, Marjorie
Palavras-chaveGeodiversity
Assessment
Spatial scale
GIS
Centroid analysis
Kernel density
DataJan-2018
EditoraSpringer
RevistaGeoheritage
CitaçãoForte, 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
Resumo(s)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.
TipoArtigo
URIhttps://hdl.handle.net/1822/49903
DOI10.1007/s12371-018-0282-3
ISSN1867-2477
e-ISSN1867-2485
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CCT - Artigos (Papers)/Papers

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
forte_2018.pdf7,67 MBAdobe PDFVer/Abrir

Este trabalho está licenciado sob uma Licença Creative Commons Creative Commons

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID