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Volumn 77, Issue 1, 2003, Pages 45-63

Application of geostatistical methods in gold geochemical anomalies identification (Montemor-O-Novo, Portugal)

Author keywords

Factorial analysis of coregionalisations; Factorial kriging; Geochemical exploration; Gold; Portugal

Indexed keywords

ANISOTROPY; GOLD DEPOSITS; PRINCIPAL COMPONENT ANALYSIS; SPECTROMETRY; STATISTICAL METHODS;

EID: 0037307743     PISSN: 03756742     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0375-6742(02)00269-8     Document Type: Article
Times cited : (35)

References (14)
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    • Carvalhosa, A., Zbyzewski, G., 1994. Carta Geológica de Montemor-O-Novo, Folha 35-D, escala 1:50 000 e respectiva Notícia Explicativa I.G.M, Lisboa, Portugal (in Portuguese).
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    • Goovaerts, P.1
  • 9
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    • Goovaerts, P., Webster, R., 1994. Scale-dependent correlation between topsoil copper and cobalt concentrations in Scotland. European Journal of Soil Science 45, 79-95.
    • (1994) European Journal of Soil Science , vol.45 , pp. 79-95
    • Goovaerts, P.1    Webster, R.2
  • 10
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    • Application of correspondence analysis and factorial kriging analysis: A case study on geochemical exploration
    • Jiménez-Espinosa, R., Sousa, A.J., Chica-Olmo, M., 1992. Application of correspondence analysis and factorial kriging analysis: a case study on geochemical exploration. Geostatistics Troia'92 2, 853-864.
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    • Sandjivy, L., 1984. The factorial kriging analysis of regionalized data. Its application to geochemical prospecting. In: Verly, G., Davis, M., Journal, A., Marechal, M. (Eds.), Geostatistics for Natural Resources Characterisation, NATO-ASI series C122. Reidel, Dordrecht, pp. 559-572.
    • (1984) Geostatistics for Natural Resources Characterisation , pp. 559-572
    • Sandjivy, L.1
  • 13
    • 0001115973 scopus 로고
    • Geostatistical data analysis - an application to ore typology
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    • Geostatistical techniques for interpreting multivariate spatial information
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    • Wackernagel, H., 1988. Geostatistical techniques for interpreting multivariate spatial information. In: Chung, C.F., Fabbri, A.G., Sinding-Larsen, R. (Eds.), Quantitative Analysis of Mineral and Energy Resources, NATO-ASI series C223. Reidel, Dordrecht, pp. 385-392.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.