The Role of Factor and Regression Analysis in the Interpretation of Geochemical Reconnaissance Data
The interpretation of exploration oriented geochemical data frequently requires the recognition of subtle features related to mineralization, from the more obvious geochemical expressions of bedrock and surface environments. A number of previous investigations have indicated the potential of various...
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Canadian Science Publishing
1975
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crcansciencepubl:10.1139/e75-122 2024-04-28T08:28:49+00:00 The Role of Factor and Regression Analysis in the Interpretation of Geochemical Reconnaissance Data Closs, L. G. Nichol, Ian 1975 http://dx.doi.org/10.1139/e75-122 http://www.nrcresearchpress.com/doi/pdf/10.1139/e75-122 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Earth Sciences volume 12, issue 8, page 1316-1330 ISSN 0008-4077 1480-3313 General Earth and Planetary Sciences journal-article 1975 crcansciencepubl https://doi.org/10.1139/e75-122 2024-04-02T06:55:54Z The interpretation of exploration oriented geochemical data frequently requires the recognition of subtle features related to mineralization, from the more obvious geochemical expressions of bedrock and surface environments. A number of previous investigations have indicated the potential of various computerized interpretational procedures as aids in identifying these features in geochemical data. The present investigation was concerned with the interpretation of multi-element data from a 750 mile 2 {1942.5 km 2 ) area of the Notre Dame Bay district of Newfoundland. The area is underlain by a series of Ordovician and Silurian sediments and volcanics and intrusives overlain by glacial deposits mostly composed of glacial till. Massive sulfide mineralization including the Whalesback and Gullbridge deposits occur within the Ordovician volcanics. R mode factor analysis was employed to establish the character and distribution of the principle metal associations related to bedrock and surface environment contributing to the overall data distribution. The factor scores were regressed against the individual metal concentrations of the elements composing the respective factors, the resulting residuals of the metals reflecting the component of metal related to some sources other than those reflected by the metal associations established by factor analysis. Anomalous areas of residual copper and zinc distributions indicate the areas of known sulfide mineralization more closely than the untreated metal distributions. On this basis, anomalous areas of residual copper and zinc, unrelated to known sulfide mineralization warrant further exploration investigation. It is therefore concluded that a combination of factor and regression analysis on multi-element data from the Notre Dame Bay district of Newfoundland serves to highlight subtle though significant features in multi-element data possibly related to mineralization that were not apparent from a consideration of the untreated data. Article in Journal/Newspaper Newfoundland Canadian Science Publishing Canadian Journal of Earth Sciences 12 8 1316 1330 |
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Canadian Science Publishing |
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crcansciencepubl |
language |
English |
topic |
General Earth and Planetary Sciences |
spellingShingle |
General Earth and Planetary Sciences Closs, L. G. Nichol, Ian The Role of Factor and Regression Analysis in the Interpretation of Geochemical Reconnaissance Data |
topic_facet |
General Earth and Planetary Sciences |
description |
The interpretation of exploration oriented geochemical data frequently requires the recognition of subtle features related to mineralization, from the more obvious geochemical expressions of bedrock and surface environments. A number of previous investigations have indicated the potential of various computerized interpretational procedures as aids in identifying these features in geochemical data. The present investigation was concerned with the interpretation of multi-element data from a 750 mile 2 {1942.5 km 2 ) area of the Notre Dame Bay district of Newfoundland. The area is underlain by a series of Ordovician and Silurian sediments and volcanics and intrusives overlain by glacial deposits mostly composed of glacial till. Massive sulfide mineralization including the Whalesback and Gullbridge deposits occur within the Ordovician volcanics. R mode factor analysis was employed to establish the character and distribution of the principle metal associations related to bedrock and surface environment contributing to the overall data distribution. The factor scores were regressed against the individual metal concentrations of the elements composing the respective factors, the resulting residuals of the metals reflecting the component of metal related to some sources other than those reflected by the metal associations established by factor analysis. Anomalous areas of residual copper and zinc distributions indicate the areas of known sulfide mineralization more closely than the untreated metal distributions. On this basis, anomalous areas of residual copper and zinc, unrelated to known sulfide mineralization warrant further exploration investigation. It is therefore concluded that a combination of factor and regression analysis on multi-element data from the Notre Dame Bay district of Newfoundland serves to highlight subtle though significant features in multi-element data possibly related to mineralization that were not apparent from a consideration of the untreated data. |
format |
Article in Journal/Newspaper |
author |
Closs, L. G. Nichol, Ian |
author_facet |
Closs, L. G. Nichol, Ian |
author_sort |
Closs, L. G. |
title |
The Role of Factor and Regression Analysis in the Interpretation of Geochemical Reconnaissance Data |
title_short |
The Role of Factor and Regression Analysis in the Interpretation of Geochemical Reconnaissance Data |
title_full |
The Role of Factor and Regression Analysis in the Interpretation of Geochemical Reconnaissance Data |
title_fullStr |
The Role of Factor and Regression Analysis in the Interpretation of Geochemical Reconnaissance Data |
title_full_unstemmed |
The Role of Factor and Regression Analysis in the Interpretation of Geochemical Reconnaissance Data |
title_sort |
role of factor and regression analysis in the interpretation of geochemical reconnaissance data |
publisher |
Canadian Science Publishing |
publishDate |
1975 |
url |
http://dx.doi.org/10.1139/e75-122 http://www.nrcresearchpress.com/doi/pdf/10.1139/e75-122 |
genre |
Newfoundland |
genre_facet |
Newfoundland |
op_source |
Canadian Journal of Earth Sciences volume 12, issue 8, page 1316-1330 ISSN 0008-4077 1480-3313 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/e75-122 |
container_title |
Canadian Journal of Earth Sciences |
container_volume |
12 |
container_issue |
8 |
container_start_page |
1316 |
op_container_end_page |
1330 |
_version_ |
1797587227059945472 |