A case study on geochemical anomaly identification through principal components analysis supplementary projection

• Autor(a) principal: Garcia Pereira, Henrique
• Data de Publicação: 2003
• Outros Autores: Renca, Sara, Saraiva, José
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10316/3940; https://doi.org/10.1016/S0883-2927(02)00099-9

Based on a case study in which a single geochemical anomaly was located in the vicinity of an abandoned mine in Central Portugal, a recursive methodology for anomaly/background separation was developed. This methodology relies on the supplementary projection of each of the samples taken from a subset of [`]anomaly candidates' onto the axes provided by Principal Components Analysis of the background subset. The concept of [`]anomaly intensity', defined by the average of the distances from the original to the supplementary projections, is the basis for final anomaly identification.