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Australian Journal of Earth Sciences
An International Geoscience Journal of the Geological Society of Australia
Volume 55, 2008 - Issue 1: Conceptual mineral exploration
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Original Articles

Combined conceptual/empirical prospectivity mapping for orogenic gold in the northern Fennoscandian Shield, Finland

V. Nykänen Bedrock and Mineral Resources, Geological Survey of Finland, PO Box 77, Rovaniemi, FI-96101, Rovaniemi, FinlandCorrespondence[email protected]
,
D. I. Groves Centre for Exploration Targeting, School of Earth and Geographical Sciences, University of Western Australia, 35 Stirling Highway, Nedlands, WA 6009, Australia, and Redstone Resources Limited, Suite 3, 110 – 116 East Parade, East Perth, WA, 6009, Australia
,
V. J. Ojala Bedrock and Mineral Resources, Geological Survey of Finland, PO Box 77, Rovaniemi, FI-96101, Rovaniemi, Finland
&
S. J. Gardoll Centre for Exploration Targeting, School of Earth and Geographical Sciences, University of Western Australia, 35 Stirling Highway, Nedlands, WA 6009, Australia, and Redstone Resources Limited, Suite 3, 110 – 116 East Parade, East Perth, WA, 6009, Australia
Pages 39-59 | Received 05 Aug 2006, Accepted 20 May 2007, Published online: 16 Jan 2008

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Önder Kayadibi & Doğan Aydal. (2019) A comparative predictive analysis of weighted overlay, weighted sum and fuzzy logic for mineral prospectivity mapping of precious and base metal mineralizations at north-east of Gümüşhane city, NE Turkey. Geocarto International 34:5, pages 539-559.
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Y. Chen & W. Wu. (2017) Mapping mineral prospectivity by using one-class support vector machine to identify multivariate geological anomalies from digital geological survey data. Australian Journal of Earth Sciences 64:5, pages 639-651.
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Articles from other publishers (42)

Jukka Konnunaho, Pasi Eilu, Tuomo Törmänen, Tuomo Karinen, Jukka-Pekka Ranta, Kalevi Rasilainen, Vesa Nykänen, Jussi Pokki & Quentin Dehaine. (2023) A mining industry overview of cobalt in Finland: exploration, deposits and utilization. Geoenergy 1:1.
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Vesa Nykänen, Tuomo Törmänen & Tero Niiranen. (2023) Cobalt Prospectivity Using a Conceptual Fuzzy Logic Overlay Method Enhanced with the Mineral Systems Approach. Natural Resources Research 32:6, pages 2387-2416.
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Mahyar Yousefi & Jon M.A. Hronsky. (2023) Translation of the function of hydrothermal mineralization-related focused fluid flux into a mappable exploration criterion for mineral exploration targeting. Applied Geochemistry 149, pages 105561.
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Fanous Mohammadi, Majid H. Tangestani & Mohammad H. Tayebi. (2022) Prospectivity mapping of orogenic lode gold deposits using fuzzy models: a case study of Saqqez area, NW of Iran. Earth Science Informatics 15:4, pages 2387-2404.
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P. Krishnamurthy. (2022) A Historical Overview of Conceptual Approaches in Mineral Exploration with Special Reference to Uranium Exploration in India. Journal of the Geological Society of India 98:8, pages 1166-1172.
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Katja Kangas, Greg Brown, Mari Kivinen, Anne Tolvanen, Seija Tuulentie, Jouni Karhu, Mira Markovaara-Koivisto, Pasi Eilu, Oili Tarvainen, Jukka Similä & Artti Juutinen. (2022) Land use synergies and conflicts identification in the framework of compatibility analyses and spatial assessment of ecological, socio-cultural and economic values. Journal of Environmental Management 316, pages 115174.
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Yongliang Chen, Yuanqing Zhang & Yulei Tan. (2021) A comparative study of the cost–benefit strategy with the learning ensembles of decision stumps in polymetallic prospectivity modelling. Earth Science Informatics 15:1, pages 57-72.
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Mahyar Yousefi, Emmanuel John M. Carranza, Oliver P. Kreuzer, Vesa Nykänen, Jon M.A. Hronsky & Mark J. Mihalasky. (2021) Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: State-of-the-art and outlook. Journal of Geochemical Exploration 229, pages 106839.
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Yongliang Chen & Qingying Zhao. (2021) Mineral exploration targeting by combination of recursive indicator elimination with the ℓ2-regularization logistic regression based on geochemical data. Ore Geology Reviews 135, pages 104213.
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Inga Timofejeva, Rollin McCraty, Mike Atkinson, Abdullah A. Alabdulgader, Alfonsas Vainoras, Mantas Landauskas, Vaiva Šiaučiūnaitė & Minvydas Ragulskis. (2021) Global Study of Human Heart Rhythm Synchronization with the Earth’s Time Varying Magnetic Field. Applied Sciences 11:7, pages 2935.
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Mari Kivinen, Pasi Eilu & Mira Markovaara-Koivisto. (2021) Mineral futures in land-use planning: Foresight tools and case studies in Northern Finland. Resources Policy 70, pages 101917.
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Alexander Kravchenko, Evgeniy Loskutov & Vasiliy Beryozkin. (2020) Mapping of folds and faults in metamorphic complexes of the Central Aldan and Prikolyma terranes using geophysical data. IOP Conference Series: Earth and Environmental Science 609, pages 012024.
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Sherif Olumide Sanusi & John Olurotimi Amigun. (2020) Logistic-Based Translation of Orogenic Gold Forming Processes into Mappable Exploration Criteria for Fuzzy Logic Mineral Exploration Targeting in the Kushaka Schist Belt, North-Central Nigeria. Natural Resources Research 29:6, pages 3505-3526.
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Elias Martins Guerra Prado, Carlos Roberto de Souza Filho, Emmanuel John M. Carranza & João Gabriel Motta. (2020) Modeling of Cu-Au prospectivity in the Carajás mineral province (Brazil) through machine learning: Dealing with imbalanced training data. Ore Geology Reviews 124, pages 103611.
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Amir Habibnia, Gholamreza Rahimipour & Hojjatollah Ranjbar. (2020) Equivalence assessment and leveling of geochemical datasets to generate integrated geochemical maps: Application to mineral exploration. Journal of Geochemical Exploration 212, pages 106507.
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Oliver P. Kreuzer, Mahyar Yousefi & Vesa Nykänen. (2020) Introduction to the special issue on spatial modelling and analysis of ore-forming processes in mineral exploration targeting. Ore Geology Reviews 119, pages 103391.
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Yongliang Chen, Wei Wu & Qingying Zhao. (2019) A Bat Algorithm-Based Data-Driven Model for Mineral Prospectivity Mapping. Natural Resources Research 29:1, pages 247-265.
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Jian Wang, Renguang Zuo & Yihui Xiong. (2019) Mapping Mineral Prospectivity via Semi-supervised Random Forest. Natural Resources Research 29:1, pages 189-202.
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Nan Lin, Yongliang Chen & Laijun Lu. (2019) Mineral Potential Mapping Using a Conjugate Gradient Logistic Regression Model. Natural Resources Research 29:1, pages 173-188.
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Tero Niiranen, Vesa Nykänen & Ilkka Lahti. (2019) Scalability of the mineral prospectivity modelling – An orogenic gold case study from northern Finland. Ore Geology Reviews 109, pages 11-25.
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Yon-Ho Kim, Kwang-U. Choe & Ryong-Kil Ri. (2019) Application of fuzzy logic and geometric average: A Cu sulfide deposits potential mapping case study from Kapsan Basin, DPR Korea. Ore Geology Reviews 107, pages 239-247.
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Johanna Torppa, Vesa Nykänen & Ferenc Molnár. (2019) Unsupervised clustering and empirical fuzzy memberships for mineral prospectivity modelling. Ore Geology Reviews 107, pages 58-71.
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Yongliang Chen & Wei Wu. (2018) Isolation Forest as an Alternative Data-Driven Mineral Prospectivity Mapping Method with a Higher Data-Processing Efficiency. Natural Resources Research 28:1, pages 31-46.
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Mohammad Parsa, Abbas Maghsoudi & Mahyar Yousefi. (2018) Spatial analyses of exploration evidence data to model skarn-type copper prospectivity in the Varzaghan district, NW Iran. Ore Geology Reviews 92, pages 97-112.
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Mohammad Parsa, Abbas Maghsoudi & Mahyar Yousefi. (2017) A Receiver Operating Characteristics-Based Geochemical Data Fusion Technique for Targeting Undiscovered Mineral Deposits. Natural Resources Research 27:1, pages 15-28.
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Alireza Almasi, Mahyar Yousefi & Emmanuel John M. Carranza. (2017) Prospectivity analysis of orogenic gold deposits in Saqez-Sardasht Goldfield, Zagros Orogen, Iran. Ore Geology Reviews 91, pages 1066-1080.
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Emmanuel John M. Carranza. (2017) Natural Resources Research Publications on Geochemical Anomaly and Mineral Potential Mapping, and Introduction to the Special Issue of Papers in These Fields. Natural Resources Research 26:4, pages 379-410.
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V. Nykänen, T. Niiranen, F. Molnár, I. Lahti, K. Korhonen, N. Cook & P. Skyttä. (2017) Optimizing a Knowledge-driven Prospectivity Model for Gold Deposits Within Peräpohja Belt, Northern Finland. Natural Resources Research 26:4, pages 571-584.
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Pertti Sarala & Vesa Nykänen. (2017) Spatial analysis and modelling of glaciogenic geochemical dispersion – Implication for mineral exploration in Finland. Journal of African Earth Sciences 128, pages 61-71.
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Mahyar Yousefi & Vesa Nykänen. (2016) Data-driven logistic-based weighting of geochemical and geological evidence layers in mineral prospectivity mapping. Journal of Geochemical Exploration 164, pages 94-106.
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Yongliang Chen & Wei Wu. (2016) A prospecting cost-benefit strategy for mineral potential mapping based on ROC curve analysis. Ore Geology Reviews 74, pages 26-38.
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Vesa Nykänen, Ilkka Lahti, Tero Niiranen & Kimmo Korhonen. (2015) Receiver operating characteristics (ROC) as validation tool for prospectivity models — A magmatic Ni–Cu case study from the Central Lapland Greenstone Belt, Northern Finland. Ore Geology Reviews 71, pages 853-860.
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Yongliang Chen. (2015) Mineral potential mapping with a restricted Boltzmann machine. Ore Geology Reviews 71, pages 749-760.
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Zahra Yazdi, Ali Reza Jafari Rad & Kimiya Sadat Ajayebi. (2015) Analysis and modeling of geospatial datasets for porphyry copper prospectivity mapping in Chahargonbad area, Central Iran. Arabian Journal of Geosciences 8:10, pages 8237-8248.
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Behnam Sadeghi & Masoumeh Khalajmasoumi. (2015) A futuristic review for evaluation of geothermal potentials using fuzzy logic and binary index overlay in GIS environment. Renewable and Sustainable Energy Reviews 43, pages 818-831.
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T. Niiranen, I. Lahti & V. Nykänen. 2015. Mineral Deposits of Finland. Mineral Deposits of Finland 733 752 .
Daniel Cassard, Guillaume Bertrand, Mario Billa, Jean-Jacques Serrano, Bruno Tourlière, Jean-Michel Angel & Gabor Gaál. 2015. 3D, 4D and Predictive Modelling of Major Mineral Belts in Europe. 3D, 4D and Predictive Modelling of Major Mineral Belts in Europe 9 58 .
Maysam Abedi, Gholam-Hossain Norouzi & Nader Fathianpour. (2013) Fuzzy outranking approach: A knowledge-driven method for mineral prospectivity mapping. International Journal of Applied Earth Observation and Geoinformation 21, pages 556-567.
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Lucíola Alves Magalhães & Carlos Roberto Souza Filho. (2011) Targeting of Gold Deposits in Amazonian Exploration Frontiers using Knowledge- and Data-Driven Spatial Modeling of Geophysical, Geochemical, and Geological Data. Surveys in Geophysics 33:2, pages 211-241.
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Emmanuel John M. Carranza. (2011) Geocomputation of mineral exploration targets. Computers & Geosciences 37:12, pages 1907-1916.
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. 2009. Geochemical Anomaly and Mineral Prospectivity Mapping in GIS. Geochemical Anomaly and Mineral Prospectivity Mapping in GIS 311 336 .
Vesa Nykänen. (2008) Radial Basis Functional Link Nets Used as a Prospectivity Mapping Tool for Orogenic Gold Deposits Within the Central Lapland Greenstone Belt, Northern Fennoscandian Shield. Natural Resources Research 17:1, pages 29-48.
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