2020
DOI: 10.1016/j.apgeochem.2020.104779
|View full text |Cite
|
Sign up to set email alerts
|

Hybrid multivariate typological model for the banded iron formations from the Bonito mine, Northeastern Brazil

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(5 citation statements)
references
References 27 publications
0
5
0
Order By: Relevance
“…This ancillary information could improve the decision-making in mining planning. Fonteles et al (2020) proposed a typological model for itabirites from the Bonito mine. The thickness data is Anu.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…This ancillary information could improve the decision-making in mining planning. Fonteles et al (2020) proposed a typological model for itabirites from the Bonito mine. The thickness data is Anu.…”
Section: Discussionmentioning
confidence: 99%
“…Geociênc., 2022;45:40955 Group, described by Angelim, Medeiros and Nesi (2006) as a metasedimentary sequence formed by the following units: Serra dos Quintos Formation (BIFs, marble, ferruginous quartzite, amphibolite, and schist), Jucurutu Formation (primarily paragneiss, marble, quartzite, iron formations and metaconglomerate), Equador Formation (muscovitequartzite) and Seridó Formation (feldspathic mica schist) (Figure 2). The BIF rocks of the Serra dos Quintos Formation gather an assemblage of itabirites (proto-iron ore types) previously studied by Barbosa (2013), Fonteles et al (2019a), Fonteles, Pereira and Veríssimo (2019b) and Fonteles et al (2020).…”
Section: Lithostratigraphymentioning
confidence: 99%
See 2 more Smart Citations
“…K-means clustering analysis allows the quick division of research objects into relatively homogeneous groups [55][56][57]. Fisher discriminant analysis, one of the most important multivariate statistical analysis methods, can summarize the common feature from various groups to obtain discriminant formulae, identifying the accuracy of clustering analysis [58].…”
Section: Ftirmentioning
confidence: 99%