A spatial reconnaissance survey for gold exploration in a schist belt

Geological data integration and spatial analysis for structural elucidation are more assertive approaches for reconnaissance scale mineral exploration. In this study, several methods involving Fry analysis, distance correlation analysis, prediction area plots as well as knowledge driven predictive m...

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Autores principales:	Andongma W. Tende, Mohammed D. Aminu, Abdulgafar K. Amuda, Jiriko N. Gajere, Hadiza Usman, Fatima Shinkafi
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Gold Mineral deposit Schist belt Malumfashi Predictive modelling Science (General) Q1-390 Social sciences (General) H1-99
Acceso en línea:	https://doaj.org/article/8a9d6e276015498897cecfed5d642131
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id	oai:doaj.org-article:8a9d6e276015498897cecfed5d642131
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spelling	oai:doaj.org-article:8a9d6e276015498897cecfed5d6421312021-12-02T05:03:04ZA spatial reconnaissance survey for gold exploration in a schist belt2405-844010.1016/j.heliyon.2021.e08406https://doaj.org/article/8a9d6e276015498897cecfed5d6421312021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2405844021025093https://doaj.org/toc/2405-8440Geological data integration and spatial analysis for structural elucidation are more assertive approaches for reconnaissance scale mineral exploration. In this study, several methods involving Fry analysis, distance correlation analysis, prediction area plots as well as knowledge driven predictive models including TOPSIS, ARAS and MOORA were systematically employed for unravelling the spatial geological attributes related to gold mineralisation. Additionally, statistical validation of knowledge driven predictive models were implemented using the Receiver Operating Characteristic/Area Under Curve analysis (ROC/AUC). The evidence from Fry and distance correlation analysis suggests that gold occurrence within parts of the Malumfashi schist belt of Nigeria is defined by a strong spatial association with the ENE-WSW as well as the NNE-SSW trending structures. The prediction area plot also revealed a robust spatial correlation between mineral occurrence and spatial data related to geological structures. The application of knowledge driven predictive models suggest a high favourability for gold occurrence within the southern, central, and north-eastern parts of the study location, while statistical validation using the ROC/AUC curves suggest a high prediction accuracy greater than 70% for all models. The geospatial analysis for mineral exploration within the Malumfashi area has unveiled an invaluable geological criterion for gold targeting with a considerable level of certainty.Andongma W. TendeMohammed D. AminuAbdulgafar K. AmudaJiriko N. GajereHadiza UsmanFatima ShinkafiElsevierarticleGoldMineral depositSchist beltMalumfashiPredictive modellingScience (General)Q1-390Social sciences (General)H1-99ENHeliyon, Vol 7, Iss 11, Pp e08406- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Gold Mineral deposit Schist belt Malumfashi Predictive modelling Science (General) Q1-390 Social sciences (General) H1-99
spellingShingle	Gold Mineral deposit Schist belt Malumfashi Predictive modelling Science (General) Q1-390 Social sciences (General) H1-99 Andongma W. Tende Mohammed D. Aminu Abdulgafar K. Amuda Jiriko N. Gajere Hadiza Usman Fatima Shinkafi A spatial reconnaissance survey for gold exploration in a schist belt
description	Geological data integration and spatial analysis for structural elucidation are more assertive approaches for reconnaissance scale mineral exploration. In this study, several methods involving Fry analysis, distance correlation analysis, prediction area plots as well as knowledge driven predictive models including TOPSIS, ARAS and MOORA were systematically employed for unravelling the spatial geological attributes related to gold mineralisation. Additionally, statistical validation of knowledge driven predictive models were implemented using the Receiver Operating Characteristic/Area Under Curve analysis (ROC/AUC). The evidence from Fry and distance correlation analysis suggests that gold occurrence within parts of the Malumfashi schist belt of Nigeria is defined by a strong spatial association with the ENE-WSW as well as the NNE-SSW trending structures. The prediction area plot also revealed a robust spatial correlation between mineral occurrence and spatial data related to geological structures. The application of knowledge driven predictive models suggest a high favourability for gold occurrence within the southern, central, and north-eastern parts of the study location, while statistical validation using the ROC/AUC curves suggest a high prediction accuracy greater than 70% for all models. The geospatial analysis for mineral exploration within the Malumfashi area has unveiled an invaluable geological criterion for gold targeting with a considerable level of certainty.
format	article
author	Andongma W. Tende Mohammed D. Aminu Abdulgafar K. Amuda Jiriko N. Gajere Hadiza Usman Fatima Shinkafi
author_facet	Andongma W. Tende Mohammed D. Aminu Abdulgafar K. Amuda Jiriko N. Gajere Hadiza Usman Fatima Shinkafi
author_sort	Andongma W. Tende
title	A spatial reconnaissance survey for gold exploration in a schist belt
title_short	A spatial reconnaissance survey for gold exploration in a schist belt
title_full	A spatial reconnaissance survey for gold exploration in a schist belt
title_fullStr	A spatial reconnaissance survey for gold exploration in a schist belt
title_full_unstemmed	A spatial reconnaissance survey for gold exploration in a schist belt
title_sort	spatial reconnaissance survey for gold exploration in a schist belt
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/8a9d6e276015498897cecfed5d642131
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A spatial reconnaissance survey for gold exploration in a schist belt

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