Prof Emmanuel Carranza
Position
Professor
Department
Geology
Address
Natural and Agricultural Sciences
Geology
IB 52

Postal Code
9999
Office
STEF COETZEE BUILDING G322
Short CV
  • Has worked and is working at forefront of research in predictive modeling of mineral prospectivity
  • Has written a book on “Geochemical Anomaly and Mineral Prospectivity Mapping in GIS”
  • Has edited 14 geoscience journal special/thematic issues
  • Has published 296 papers in international peer-reviewed scientific journals
  • Has published 49 papers in international peer-reviewed conference proceedings
  • Has published 41 papers in international non-peer-reviewed conference proceedings
  • Has H-index of 74 and has been cited at least 18,261 times (see Google Scholar)
  • Has delivered 10 invited keynote lectures/presentations at international geoscience conferences
  • Has delivered 36 invited special topic lectures/presentations to academe/industry
  • Has convened 14 sessions at international geoscience conferences
  • Has supervised to completion 15 Ph.D. and 32 M.Sc. graduates
  • Has delineated mineralised land via systematic drainage geochemical surveys

 

Publications

Books and Book Chapters Published:

2021:

  1. Carranza E.J.M., 2021. Exploratory Data Analysis. In: Daya Sagar B., Cheng Q., McKinley J., Agterberg F. (Eds.), Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham.
  2. Carranza E.J.M., 2021. Mineral Prospectivity Analysis. In: Daya Sagar B., Cheng Q., McKinley J., Agterberg F. (Eds.), Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham.
  3. Wilson B., Carranza E.J.M., Boisvert J.B., 2021. Quantitative Target Selection. In: Daya Sagar B., Cheng Q., McKinley J., Agterberg F. (Eds.), Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham.

     

    2018:

  4. Camizuli, E., Carranza, E.J.M., 2018. Exploratory data analysis (EDA). In: López Varela, S.L. (Ed.), The Encyclopedia of Archaeological Sciences, John Wiley & Sons, pp. 664-670.
  5. Carranza, E.J.M., 2018. Regional-scale prospectivity mapping for surficial uranium deposits in southern British Columbia, Canada. In: IAEA, Quantitative and Spatial Evaluations of Undiscovered Uranium Resources, IAEA-TECDOC-1861. ISSN 1011–4289, ISBN 978–92–0–109518–3, International Atomic Energy Agency (IAEA), Vienna, pp. 97-131.

     

    2011:

  6. Porwal, A., Carranza, E.J.M., Hale, M., 2011. Spatial mathematical models for mineral potential mapping. In: P. Ghosh (Ed.), Numerical Methods and Models in Earth Science. New India Publishing Agency, New Delhi, pp. 99-119.

     

    2008:

  7. Carranza, E.J.M., 2008. Geochemical Anomaly and Mineral Prospectivity Mapping in GIS. Handbook of Exploration and Environmental Geochemistry, Vol. 11, Elsevier, Amsterdam, 351 pp.
  8. Porwal, A., Carranza, E.J.M., 2008. Classifiers for modelling of mineral potential. In: O. Pourret, P. Naïm, B. Marcot (Eds.), Bayesian Networks: A Practical Guide to Applications. John Wiley & Sons, Chichester, pp. 149-171.

 

Publications in ISI-indexed Peer-reviewed Journals:

2024:

  1. Abrahams, J.-L.R., Carranza, E.J.M., 2024. Geochemical characterization of an AMD-affected stream: Detection of associated trace metal contamination using element `dilution factors`. Mine Water and the Environment 43, 368–381.
  2. Alimi, S.A., Carranza, E.J.M., 2024. Gold-bearing quartz veins and associated rocks in the Wawa area, western Nigeria: Insights to their nature from field investigation, petrographic study, and geochemical analysis. Journal of African Earth Sciences 212, 105203.
  3. Asadi Haroni, P., Asadi Haroni, H., Carranza, E.J.M., Asghari, O., Abedi, M., Mirmohammadi, M., 2023. A cell-based association data integration method for locating potential drilling targets: A case study at the Dalli Cu-Au porphyry deposit in Iran. Ore Geology Reviews, 165, 105859.
  4. Carranza, E.J.M., Maseko, R.N., 2024. Regional- to District-Scale Controls on Thermal Springs Occurrence in South Africa: Insights from Investigations of their Spatial Distribution and their Spatial Relationships with Geological Features. Geothermics, 117, 102866.
  5. Esmaeiloghli, S., Tabatabaei, S.H., Hosseini, S., Deville, Y., Carranza, E.J.M., 2024. Blind Source Separation of Spectrally-Filtered Geochemical Signals to Recognize Multi-Depth Ore-Related Enrichment Patterns. Mathematical Geosciences 56, 1255–1283.
  6. Gao, M., Wang, G., Carranza, E.J.M., Qi, S., Zhang, W., Pang, Z., Li, X., Xiao, F., 2024. 3D Au targeting using geological-geophysical datasets and machine learning in the Sanshandao-Cangshang district, Shandong province, China. Natural Resources Research, 33(1), 51-74.
  7. Jia, S., Liu, J., Wang, J., Carranza, E.J.M., Liu, C., Cheng, F., 2024. Geochemistry and Zircon LA-ICP-MS U-Pb Geochronology of the Shuangwang Au Deposit, Shaanxi Province: Implications for Tectonic Evolution and Metallogenic Age. Minerals 14(4), 329.
  8. Li, J., Liu, J., Carranza, E.J.M., Zhai, D., Zhao, D., Tang, Y., Zhang, F., Wang, Y., Wang, J., 2024. Unraveling the genesis of wolframite mineralization in the West Qinling belt, China: Evidence from geochronology, geochemistry, and fluid inclusion study. Ore Geology Reviews, 173, 106229.
  9. Liu, J., Weng, G., Carranza, E.J.M., Zhai, D., Wang, Y., Zhang, F., Gao, S., Xu, L., 2024. Mineral assemblages and ore-forming physicochemical conditions of the La’erma and Qiongmo Au-Se deposits in the western Qinling, central China. Minerals, 14(5), 507.
  10. Mutele, L., Carranza, E.J.M., 2024. Statistical Analysis of Gold Production in South Africa using ARIMA, Holts and ARNN Modelling Techniques: Extrapolating Future Gold Production, Resources-Reserves Depletion, and Implication on South Africa`s Gold Exploration. Resources Policy, 93, 105076.
  11. Negrello Bergami, B., de Souza Filho, C.R., Haddad-Martim, P.M., Carranza, E.J.M., 2024. The multifractal nature of worldclass orogenic gold systems in greenstone belts: A multiscale approach and case study at the Córrego do Sítio deposit, Rio das Velhas greenstone belt, Brazil. Ore Geology Reviews, 165, 105909.
  12. Nwaila, G.T., Zhang, S.E., Bourdeau, J.E., Carranza, E.J.M., Enslin, S., Manzi, M.S.D., Andriampenomanana, F.,Ghorbani, Y., 2024. Mineral Reconnaissance Through Scientific Consensus - First National Prospectivity Maps for PGE-Ni-Cu-Cr and Witwatersrand-type Au Deposits in South Africa. Natural Resources Research, 33, 2357-2354.
  13. Rahmani, N., Ranjbar, H., Nezamabadipour, H., Carranza, E.J.M., 2024. Neural network classification of lithological units based on integrated RADAR and multispectral data. Acta Geodynamica et Geomaterialia 21, 267-286.
  14. Sadeghi, M., Casey, P. Carranza, E.J.M., Lynch, E.P., 2024. Principal components analysis and K-means clustering of till geochemical data: mapping and targeting of prospective areas for lithium exploration in Västernorrland region, Sweden. Ore Geology Reviews 167, 106002.
  15. Shahrestani, S., Carranza, E.J.M., 2024. Effectiveness of LOF, iForest, and OCSVM in detecting anomalies in stream sediment geochemical data. Geochemistry: Exploration, Environment, Analysis, 24, geochem2024-009.
  16. Weng, G., Liu, J., Carranza, E.J.M., Zhai, D., Wang, J., Wang, H., Sun, B., Zhang, B., Zhang, F., Wang, Y., 2024. Scheelite texture and geochemistry as a recorder of nature and timing of metallogenesis: An example from the Zhaishang Au-Sb-W Deposit, western Qinling, central China. Contributions to Mineralogy and Petrology, 179, 14.
  17. Weng, G., Liu, J., Carranza, E.J.M., Zhang, F., Zhai, D., Wang, Y., Gao, S., Si, M., Su, Z., Zhang, Y., 2024. Mineralogy of gold, tellurides and sulfides from Lianzigou gold deposits in the Xiaoqinling region, central China: Implications for ore-forming conditions and processes. Minerals 14(7), 675.
  18. Zhang, S., Carranza, E.J.M., Fu, C., Zhang, W., Qin, X., 2024. Interpretable Machine Learning for Geochemical Anomaly Delineation in the Yuanbo Nang District, Gansu Province, China. Minerals 14(5), 500.
  19. Zhang, S., Carranza, E.J.M., Fu, C., Zhang, W., Qin, X., Zhang, J., 2024. Geochemical Anomaly Recognition using Shapley Values and Cell-Wise Outlier Detection: A Case Study in the Yuanbo Nang District Gansu Province, China. Geochemistry: Exploration, Environment, Analysis, 24, geochem2023-070.
  20. Zhang, Z., Wang, G., Carranza, E.J.M., Du, J., Li, Y., Liu, X., Sha, D., 2024. An uncertainty-quantification machine learning framework for data-driven three-dimensional mineral prospectivity mapping. Natural Resources Research 33, 1393–1411.

2023:

  1. Abrahams, J.-L.R., Carranza, E.J.M., 2023. Trace Metal Content Prediction along an AMD (acid mine drainage)-Contaminated Stream Draining a Coal Mine using VNIR–SWIR Spectroscopy. Environmental Monitoring and Assessment, 195, 1261.
  2. Beg, M.K., Kumar, N., Srivastava, S.K., Carranza, E.J.M., 2023. Interpretation of Fluoride Groundwater Contamination in Tamnar Area, Raigarh, Chhatisgarh, India. Earth, 4, 626–654.
  3. Cherai, M., Talbi, F. Rddad, L., Carranza, E.J.M. (2023). 3D modeling for mineral resource assessment of fluorite ore and its industrial application in Jbel Tirremi, northeast Morocco. Modeling Earth Systems and Environment, 9, 3135–3150.
  4. Esmaeiloghli, S., Tabatabaei, S.H., Carranza, E.J.M., 2023. Empirical Mode Decomposition and Power Spectrum Filtering for Detection of Frequency Channels Related to Multi-Scale Geochemical Anomalies: Metal Exploration Targeting in Moalleman District, NE Iran. Journal of Geochemical Exploration 246, 107157.
  5. Esmaeiloghli, S., Tabatabaei, S.H., Carranza, E.J.M., 2023. Infomax-based deep autoencoder network for recognition of multi-element geochemical anomalies linked to mineralization. Computers & Geosciences 175, 105341.
  6. Feng, L., Yang, L., Carranza, E.J.M., Zeng, Y., Le, X., Zhang, Q., Lu, J., Xiao, C., Huang, S., Wang, Q., 2022. Mapping of Geological Complexity and Analyzing its Relationship with the Distribution of Gold Deposits in the Guangxi Gold Ore Province. Journal of Geochemical Exploration, , 251, 107238.
  7. Jiang, X., Wang, X., Liu, Y., Carranza, E.J.M., Xie, S., Wan, X., 2023. Spatial Extrapolation of Downscaled Geochemical Data using Conditional GAN. Computers & Geosciences, 179, 105420.
  8. Mou, N., Carranza, E.J.M., Wang, G., Sun, X., 2023. A Framework for Data-Driven Mineral Prospectivity Mapping with Interpretable Machine Learning and Modulated Predictive Modeling. Natural Resources Research, 32, 2439–2462.
  9. Qin, M., Xie, S., Li, H., Lou, D., Zhang, T., Carranza, E.J.M., Kuang, Z., 2023. 3D Pore-Throat Microstructure Complexity of Igneous Reservoir Rock and its Effects on the Porosity-Permeability Relation. Natural Resources Research, 32, 1177–1197.
  10. Shevyrev, S., Gorobeyko, E.V., Carranza, E.J.M., Boriskina, N.G., 2023. First-Pass prospectivity mapping for Au–Ag mineralization in Sikhote–Alin Superterrane, Southeast Russia through field sampling, image enhancement on ASTER data, and MaxEnt modeling. Earth Science Informatics, 16, 695–716.
  11. Sohrabian, B., Soltani-Mohammadi, S., Poormirzaee, R., Carranza, E.J.M., 2023. Geostatistical Evaluation of a Porphyry Cu Mine using Copulas. Minerals 13, 732.
  12. Wang, W., Xie, S., Carranza, E.J.M., 2023. Introduction to the thematic collection: Applications of innovations in geochemical data analysis. Geochemistry: Exploration, Environment, Analysis 23, geochem2022-058
  13. Wang, X., Liu, J., Carranza, E.J.M., Zhai, D., Zhao, Q., Weng, G., Zhang, B., 2023. Characteristics and formation conditions of Se-bearing metacinnabar in the Wanshan mercury orefield, Eastern Guizhou. Minerals, 13(2), 173.
  14. Weng, G., Liu, J., Carranza, E.J.M., Zhai,D., Yu, C., Sun, B., Ma, Z., Liu, X., Zhang, B., 2023. Mineralogy and geochemistry of tellurides, selenides and sulfides from the Zhaishang gold deposit, western Qinling, China: Implications for metallogenic processes. Journal of Asian Earth Sciences, 244, 105536
  15. Xiang, J., Xia, P., Xiao, K., Carranza, E.J.M., Chen, J., 2023. Single-element Anomaly Mapping from Stream Sediment Geochemical Landscapes Aided by Digital Terrain Analysis. Acta Geologica Sinica-English Edition, 97, 149-162.
  16. Xie, S., Wan, X., Dong, J., Wan, N., Jiang, X., Carranza, E.J.M., Wang, X., Chang, L., Tian, Y., 2023. Quantitative Prediction of Potential Areas Likely to Yield Se-rich and Cd-low Rice using Fuzzy Weights-of-Evidence Method. Science of the Total Environment, 188, 164015.
  17. Xu, F., Yang, F., Carranza, E.J.M., Li, K., Zhang, S., Tang, Q., Li, D., 2023. Ore genesis of the Laguhe Au deposit, West Qinling, China: Evidence from sulfide geochemistry and machine learning. Ore Geology Reviews, 163, 105767.
  18. Xue, R., Liu, J., Carranza, E.J.M., Liu, T., Zhao, D., 2023. Geology, Geochemistry and Genesis of the Suolong Gold Deposit in the West Qinling Orogen, Gansu Province, China. Geological Journal, 58, 2578-2594.
  19. Zhang, C., Yang, F., Yu, X., Liu, J., Carranza, E.J.M., Chi, J., Zhang, P., 2023. Spatial-temporal distribution, metallogenic mechanisms and genetic types of nephrite deposits in China. Frontiers in Earth Science (Sec. Structural Geology and Tectonics), 11, 1047707.
  20. Zhang, S.E., Nwaila, G.T., Bourdeau, J.E., Ghorbani, Y., Carranza, E.J.M., 2023. Deriving big geochemical data from high-resolution remote sensing data via machine learning: Application to a tailing storage facility in the Witwatersrand goldfields. Artificial Intelligence in Geosciences 4, 9-21.
  21. Zhang, S.E., Nwaila, G.T., Agard, S., Bourdeau, J.E., Carranza, E.J.M., Ghorbani, Y., 2023. Big geochemical data through remote sensing for dynamic mineral resource monitoring in tailing storage facilities. Artificial Intelligence in Geosciences 4, 137-149.
  22. Zhang, S.E., Nwaila, G.T., Bourdeau, J.E., Ghorbani, Y., Carranza, E.J.M., 2023. Machine Learning-based Delineation of Geodomain Boundaries: A Proof-of-Concept Study Using Data from the Witwatersrand Goldfields. Natural Resources Research, 32, 879–900.
  23. Zhang, Z., Wang, G., Carranza, E.J.M., Liu, C., Li, J., Fu, C., Liu, X., Dong, Y., Fan, J., 2023. An integrated machine learning framework with uncertainty quantification for three-dimensional lithological modeling from multi-source geophysical data and sparse drilling. Engineering Geology, 324, 107255.
  24. Zhang, Z., Wang, G., Carranza, E.J.M., Yang, S., Sha, D., Fan, J., Zhang, X., Dong, Y., 2022. Supervised mineral prospectivity mapping via class-balanced focal loss function on imbalanced geoscience datasets. Mathematical Geosciences, 55, 989–1010.
  25. Zuo, L., Wang, G., Carranza, E.J.M., Pang, Z., Ren, H., Cao, K., Gao, M., Liu, Z., 2023. Deep Vector Exploration via Alteration Footprint and Thermal Infrared Scalars for the Weilasituo Magmatic-hydrothermal Li-Sn Polymetallic Deposit, Inner Mongolia, NE China. Natural Resources Research, 32, 1871–1895.
  26. Zuo, R., Carranza, E.J.M., 2023. Machine Learning-Based Mapping for Mineral Exploration. Mathematical Geosciences, 55, 891–895.

2022:

  1. Busakwe, N.S., Carranza, E.J.M., Chagi, O., Hoyer, L., 2022. Micro-fractures in the Ngubevu gold and base metal mines (Natal Thrust Front, Tugela Terrane, South Africa): Are they consistent with macro-scale deformation, and what do they tell us? South African Journal of Geology 125, 79-98.
  2. Esmaeiloghli, S., Tabatabaei, S.H., Carranza, E.J.M. (2022). 3DU?TA: A New Multifractal Model Involving Surface Topography for Separation of Geochemical Anomalies. Journal of Geochemical Exploration 241, 107061.
  3. Geranian, H., Carranza, E.J.M., 2022. Mapping of regional-scale multi-element geochemical anomalies using hierarchical clustering algorithms. Natural Resources Research 31, 1841-1865.
  4. Jemmali, N., Rddad, L. Sosnicka, M., Rahali, E., Souissi, F., Carranza, E.J.M., 2022. Genesis of Zn-Pb-(Ba-Sr) mineralization in the Jebel El Akhouat deposit near the Ech Chehid salt diapir, Northern Tunisia. Mineralogy and Petrology 116, 71–91.
  5. Liu, Y., Carranza, E.J.M., 2022. Uncertainty analysis of geochemical anomaly by combining sequential indicator co-simulation and singularity analysis. Natural Resources Research 31, 1889-1908.
  6. Liu, Y., Carranza, E.J.M., Xia, Q., 2022. Developments in Quantitative Assessment and Modeling of Mineral Resource Potential: An Overview. Natural Resources Research 31, 1825-1840.
  7. Nwaila, G.T., Zhang, S.E., Bourdeau, J.E., Ghorbani, Y., Carranza, E.J.M., 2022. Artificial intelligence-based anomaly detection of the Assen iron deposit in South Africa using remote sensing data from the Landsat-8 Operational Land Imager. Artificial Intelligence in Geosciences3, 71-85.
  8. Parsa, M., Carranza, E.J.M., Ahmadi, B., 2022. Deep GMDH neural networks for predictive mapping of mineral prospectivity in terrains hosting few but large mineral deposits. Natural Resources Research 31, 37-50.
  9. Shevyrev, S., Carranza, E.J.M., 2021. Application of maximum entropy for mineral prospectivity mapping in heavily vegetated areas of Greater Kurile Chain with Landsat 8 Data. Ore Geology Reviews 142, 104758.
  10. Soltani-Mohammadi, S., Abbaszadeh, M., Hezarkhani, A., Carranza, E.J.M., 2022. Uncertainty analysis of thermodynamic variables of fluid inclusions: a deposit-scale spatial exploratory data modeling through fuzzy kriging. Natural Resources Research 31, 51–65.
  11. Song, Y., Yang, L., Carranza, E.J.M., Bagas, L., Gao, Y., Sun, B., Wang, P., 2021. Contrasting Anomaly Patterns of Magmatic–Hydrothermal Polymetallic and Orogenic Gold Deposits and their Suitable Exploration Methods: A Case Study from the Qinling Orogen. Natural Resources Research 31, 1083-1102.
  12. Wang, H., Zou, R., Carranza, E.J.M., Madani, N., 2022. Modeling spatial uncertainty of geochemical anomalies using fractal and sequential indicator simulation methods. Geochemistry: Exploration, Environment, Analysis, geochem2022-029.
  13. Xie, S., Huang, N., Deng, J., Wu, S., Zhan, M., Carranza, E.J.M., Zhang, Y., Meng, F., 2022. Quantitative Prediction of Prospectivity for Pb–Zn Deposits in Guangxi (China) by Back-propagation Neural Network and Fuzzy Weights-of-Evidence Modeling. Geochemistry: Exploration, Environment, Analysis 22, geochem2021-085.
  14. Yang, F., Kong, M., Xie, S., Nie, L., Song, Y., Wang, C., Han, W., Carranza, E.J.M., Wang, Q., Guo, Z., 2021. The Relationship between Particle Size and Element Distribution in Stream Sediments from the Dongyuan W-Mo Deposit, Eastern China. Minerals 12(4), 431.
  15. Yang, F., Xie, S., Hao, Z., Carranza, E.J.M., Song, Y., Liu, Q., Xu, R., Nie, L., Han, W., Wang, C., Wang, Q., 2022. Geochemical quantitative assessment of mineral resource potential in the Da Hinggan Mountains in Inner Mongolia, China. Minerals 12(4), 434.
  16. Yang, Y., Liu, J., Carranza, E.J.M., Ding, S., Fan, X., Wang, G., Zhang, L., Yao, S., Zhao, J., Li, S., Da, R., Yang, Z., Jie, C., 2022. Geological and geochemical constraints on the genesis of the Xiqianluzi Pb–Zn polymetallic deposit in Beishan, Gansu Province, NW China. Geological Journal 57, 3623-3647.
  17. Zhang, S., Carranza, E.J.M., Xiao, K., Yang, F., Chen, Z., Li, N., Wei, H., Xiang, J., 2022. Mineral prospectivity mapping based on Isolation Forest and Random Forest: Implication for the existence of spatial signature for mineralization in outliers. Natural Resources Research 31, 1981-1999.
  18. Zhang, Z., Wang, G., Carranza, E.J.M., Fan, J., Zhang, X., Dong, Y., Chang, X., Sha, D., 2022. An integrated framework for data-driven mineral prospectivity mapping using bagging-based positive-unlabeled learning and Bayesian cost-sensitive logistic regression. Natural Resources Research 31, 3041–3060.
  19. Zhang, Z., Wang, G., Carranza, E.J.M., Yang, S., Zhao, K., Yang, W., Sha, D., 2022. Three-dimensional pseudo-lithologic modeling via adaptive feature weighted k-means algorithm from multi-source geophysical datasets, Qingchengzi Pb-Zn-Ag-Au District, China. Natural Resources Research 31, 2163-2179.
  20. Zhou, W.D., Xie, S.Y., Bao, Z.Y., Carranza, E.J.M., Wang, Y., Tang, M., 2022. Modeling of the correlation between mineral size and shale pore structure at meso- and macroscales. Mathematical Geosciences, 54, 131–150.
  21. Zuo, L., Wang, G., Zhai, D., Carranza, E.J.M.,Pang, Z., Cao, K., Mou, N., Huang, L., 2022. Short-Wavelength Infrared Data Mining and 3D Vector Modeling for Deep Exploration in the Weilasituo Magmatic-Hydrothermal Li-Sn Polymetallic Deposit, Inner Mongolia, NE China. Natural Resources Research 31, 3121–3153.

2021:

  1. Carranza, E.J.M., 2021. Fuzzy modeling of surficial uranium prospectivity in British Columbia (Canada) with a weighted fuzzy algebraic sum operator. Journal of Earth Science 32, 293-309.
  2. Esmaeiloghli, S., Tabatabaei, S.H., Carranza, E.J.M., 2021. Spatio-geologically informed fuzzy classification: an innovative method for recognition of mineralization-related patterns by integration of elemental, 3D spatial, and geological information. Natural Resources Research 30, 989-1010.
  3. Esmaeiloghli, S., Tabatabaei, S.H., Carranza, E.J.M., Hosseini, S., Deville, Y., 2021. Spatially-weighted factor analysis for extraction of source-oriented mineralization feature in 3D coordinates of surface geochemical signal. Natural Resources Research 30, 3925-3953.
  4. Ghezelbash, R., Maghsoudi, A., Bigdeli, A. Carranza, E.J.M., 2021. Regional-scale predictive mapping of mineral prospectivity: performance of support vector machines and an improved data-driven multiple-criteria decision-making technique. Natural Resources Research 30, 1977-2005.
  5. Jia, R., Lv, Y., Wang, G., Carranza, E.J.M., Chen, Y., Wei, C., Zhang, Z. (2021). A stacking method of machine learning applied to geological-geophysical datasets for 3D geological modeling, Laochang Sn camp, Gejiu (China). Computers & Geosciences 151, 104754.
  6. Liu, C., Liu, J., Carranza, E.J.M., Wang, J., Zhai, D., Zhang, F., Wang, Y., Liu, Z., 2021. Iron and magnesium isotope systematics from the Shuangwang gold deposit in the Qinling Orogen, central China. Ore Geology Reviews 134,104123.
  7. Ma, J., Xie, S., Liu, D., Carranza, E.J.M., Tang, H., Zhang, M., Wang, T., 2021. Effects of Fe3+ on dissolution dynamics of carbonate rocks in a shallow burial reservoir. Natural Resources Research, 30, 1291-1303.
  8. Okada, K., Koike, K., Carranza, E.J.M., 2021. Introduction to the Special Issue on the ISME-XV: Toward Sustainable Society with Natural Resources—Development of Resource Exploration Technology in the Past Thirty Years and for the Future. Natural Resources Research 30, 2835-2838.
  9. Parsa, M., Carranza, E.J.M., 2021. Modulating the impacts of stochastic uncertainties linked to deposit locations in data-driven predictive mapping of mineral prospectivity. Natural Resources Research 30, 3081-3097.
  10. Qin, M., Xie, S., Zhang, J., Zhang, T., Carranza, E.J.M., Li, H., Ma, J., 2021. Petrophysical texture heterogeneity of vesicles in andesite reservoir on micro-scales. Journal of Earth Science 32, 799-808.
  11. Wang, D., Zhen, S., Liu, J., Carranza, E.J.M., Wang, J., Zha, Z., Bai, H., 2021. Mineral paragenesis and hydrothermal evolution of the Dabaiyang tellurium-gold deposit, Hebei Province, China: Constraints from fluid inclusions, H-O-He-Ar isotopes, and physicochemical conditions. Ore Geology Reviews 130, 103904.
  12. Yousefi, M., Carranza, E.J.M., Kreuzer, O.P., Nykänen, V., Hronsky, J.M.A., Mihalasky, M.J., 2020. Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: state-of-the-art and outlook. Journal of Geochemical Exploration 229, 106839.
  13. Zhang, H., Xie, S., Bao, Z., Carranza, E.J.M., Wei, C., Tian, H., 2021. Synergistic inhibitory effect of selenium, iron and humic acid on cadmium uptake in rice (Oryza sativa L.) seedlings in hydroponic culture. Environmental Science and Pollution Research 28, 64652-64665.
  14. Zhang, S., Carranza, E.J.M., Wei, H., Xiao, K., Yang, F., Xiang, J., Zhang, S., Xu, Y., 2021. Data-driven mineral prospectivity mapping by joint application of unsupervised convolutional auto-encoder network and supervised convolutional neural network. Natural Resources Research, 30, 1011-1031.
  15. Zhang, S., Carranza, E.J.M., Xiao, K., Chen, Z., Li, N., Wei, H., Xiang, J., Sun, L., Xu, Y., 2021. Geochemically-constrained prospectivity mapping aided by unsupervised cluster analysis. Natural Resources Research 30, 1955-1975.
  16. Zhang, Z., Wang, G., Ding, Y., Carranza, E.J.M., 2021. 3D mineral exploration targeting with multi-dimensional geoscience datasets, Tongling Cu(-Au) District, China. Journal of Geochemical Exploration 221, 106702.
  17. Zhou, L., Qin, M., Xiao, D., Leng, C., Li, H., Xie, S., Carranza, E.J.M., Zhang, J., 2021. Multi-scaling properties of 2D reservoir micro-pore heterogeneity based on digital casting thin-section images. Natural Resources Research 30, 359-370.

2020:

  1. Chang, M., Liu, J., Carranza, E.J.M., Yin, C., Zhai, D., 2020. Gold-telluride-sulfide association in the Jinqu Au deposit, Xiaoqinling region, central China: Implications for ore-forming conditions and processes. Ore Geology Reviews 125, 103687.
  2. Chang, M., Liu, J., Carranza, E.J.M., Yin, C., Zhai, D., Wu, T., 2020. Newly discovered scheelite in quartz vein-type gold deposits, Xiaoqinling gold district and its geological significance. Acta Geologica Sinica 94, 1305-1307.
  3. Dai, H., Liu, J., Carranza, E.J.M., Zhai, D., 2020. Study on ore-forming material source and metallogenic epoch of the Taiping Pb-Zn deposit, Yunnan Province, China. Geological Journal 55, 5166-5185
  4. Ghezelbash, R., Maghsoudi, A., Carranza, E.J.M., 2020. Optimization of geochemical anomaly detection using a novel genetic K-means clustering (GKMC) algorithm. Computers & Geosciences 134, 104335.
  5. Ghezelbash, R., Maghsoudi, A., Carranza, E.J.M., 2020. Sensitivity analysis of prospectivity modeling to evidence maps: enhancing success of targeting for epithermal gold, Takab district, NW Iran. Ore Geology Reviews 120, 103394.
  6. González-Álvarez, I., Gonçalves, M., Carranza, E.J.M., 2020. Introduction to the special issue challenges for mineral exploration in the 21st century: Targeting mineral deposits under cover. Ore Geology Reviews 126, 103785.
  7. Guerra Prado, E.M., de Souza Filho, C.R., Carranza, E.J.M., Motta, J.G., 2020. Modeling of Cu-Au prospectivity in the Carajás mineral province (Brazil) through machine learning: dealing with imbalanced training data. Ore Geology Reviews 124, 103611.
  8. Huang, L., Wang, G., Carranza, E.J.M., Li, J., Zhou, Z., Zhang, Z., Wang, H., Liu, X., Peng, Y., Gao, F., Zhao, X., 2020. Multi-scale numerical simulation and 3D modeling for deep mineral exploration in the Jiaojia gold district, China. Natural Resources Research 29, 415-438.
  9. Liu, J., Dai, H., Zhai, D., Carranza, E.J.M., Yuan, F., 2020. New discovery of selenides in the Shiti barite deposits, Dabashan region and its geological significances. Acta Geologica Sinica 94, 558-560.
  10. Ma, J., Xie, S., Tang, H., Ma, M., Carranza, E.J.M., Han, J., He, Z., Jiao, C., Zhang, H., 2020. Evolution mechanisms of carbonate reservoirs based on dissolution rates and multifractal analysis of microscopic morphology. Natural Resources Research 29, 2843-2865.
  11. Madani, N., Carranza, E.J.M., 2020. Co-simulated size number: an elegant novel algorithm for identification of multivariate geochemical anomalies. Natural Resources Research 29, 13-40.
  12. Shevyrev, S., Carranza, E.J.M., 2020. Modelling of geodynamic regimes of precious metal-bearing porphyry deposits: Lazurnoe deposit (Sikhote–Alin Belt, Far East) case study. Geological Journal 55, 8309-8328.
  13. Tian, H., Xie, S., Carranza, E.J.M., Bao, Z., Zhang, H., Wu, S., Wei, C., Ma, Z., 2020. Distribution of selenium and related elements in high pyrite and Se-enriched rocks from Ziyang, Central China. Journal of Geochemical Exploration 212, 106506.
  14. Wang, G., Han, H., Carranza, E.J.M., Guo, S., Guo, K., 2020. Tensor-based low-rank and sparse prior information constraints for hyperspectral image denoising. IEEE Access 8, 102935-102946.
  15. Xu, S., Hu, X., Carranza, E.J.M., Wang, G., 2020. Multi-parameter analysis of local singularity mapping and its application to identify geochemical anomalies in the Xishan gold deposit, north China. Natural Resources Research 29, 3425-3442.
  16. Xiang, J., Xiao, K., Carranza, E.J.M., Chen, J., Li, S., 2020. 3D mineral prospectivity mapping with Random Forests: A case study of Tongling, Anhui, China. Natural Resources Research 29, 395-414.
  17. Zhang, H., Xie, S., Bao, Z., Tian, H., Carranza, E.J.M., Xiang, W., Yao, L., Zhang, H., 2020. Underlying dynamics and effects of humic acid on selenium and cadmium uptake in rice seedlings. Journal of Soils and Sediments 20, 109-121.
  18. Zhang, Z., Wang, G., Ma, Z., Carranza, E.J.M., Jia, W., Du, J., Tao, G., Deng, Z., 2020. Batholith-stock scale exploration targeting based on multi-source geological and geophysical datasets in Luanchuan Mo polymetallic district, China. Ore Geology Reviews 118, 103225.
  19. Zhang, Z., Zhang, J., Wang, G., Carranza, E.J.M., Pang, Z., Wang, H., 2020. From 2D to 3D modeling of mineral prospectivity using multi-source geoscience datasets, Wulong gold district, China. Natural Resources Research 29, 345-364.
  20. Zhen, S., Wang, Q., Wang, D., Carranza, E.J.M., Liu, J., Pang, Z., Cheng, Z., Xue, J., Wang, J., Zha, Z., 2020. Genesis of the Zhangquanzhuang gold deposit in the northern margin of North China Craton: constraints from deposit geology and ore isotope geochemistry. Ore Geology Reviews 122, 103511.

2019:

  1. Ahmadfaraj, M., Mirmohammadi, M., Afzal, P., Yasrebi, A.B., Carranza, E.J.M., 2019. Fractal modeling and fry analysis of relationship between structures and Cu mineralization in Saveh region, Central Iran. Ore Geology Reviews 107, 172-185.
  2. Carranza, E.J.M., Haddad-Martim, P.M., de Souza Filho, C.R., Nagayoshi, K., Shimizu, I., 2019. Macro-scale ore-controlling faults revealed by micro-geochemical anomalies. Scientific Reports 9, 4410.
  3. Chen, X., Liu, J., Carranza, E.J.M., Zhang, D., Collins, A., Yang, B., Xu, W., Zhai, D., Wang, Y., Wang, J., Liu, Z., 2019. Geology, geochemistry and geochronology of the Cuihongshan Fe-polymetallic deposit, Heilongjiang Province, NE China. Geological Journal 54, 1254-1278.
  4. Ghezelbash, R., Maghsoudi, A., Carranza, E.J.M., 2019. An improved data-driven multiple criteria decision-making procedure for spatial modeling of mineral prospectivity: adaption of prediction-area plot and logistic functions. Natural Resources Research 28, 1299-1316.
  5. Ghezelbash, R., Maghsoudi, A., Carranza, E.J.M., 2019. Mapping of single- and multi-element geochemical indicators based on catchment basin analysis: application of fractal method and unsupervised clustering models. Journal of Geochemical Exploration 199, 90-104.
  6. Ghezelbash, R., Maghsoudi, A., Carranza, E.J.M., 2019. Performance evaluation of RBF- and SVM-based machine learning algorithms for predictive mineral prospectivity modeling: Integration of S-A multifractal model and mineralization controls. Earth Science Informatics 12, 277-293.
  7. Jemmali, N., Rdadd, L., Souissi, F., Carranza, E.J.M., Zemmel, B., 2019. The ore genesis of the Jebel Mecella and Sidi Taya F-Ba (Zn-Pb) Mississippi valley-type deposits, Fluorite Zaghouan Province, NE Tunisia, in relation to Alpine orogeny: constraints from geological, sulfur and lead isotope studies. Comptus Rendus Geoscience 351, 312-320.
  8. Li, Y., Yu, X., Mi, K., Carranza, E.J.M., Liu, J., Jia, W., He, S., 2019. Deposit geology, geochronology and geochemistry of the Gongpengzi skarn Cu–Zn–W polymetallic deposit, NE China. Ore Geology Reviews 109, 465-481.
  9. Liu, Y., Carranza, E.J.M., Kefa, Z., Xia, Q., 2019. Compositional balance analysis: An elegant method of geochemical pattern recognition and anomaly mapping for mineral exploration. Natural Resources Research 28, 1269-1283.
  10. Liu, Y., Cheng, Q., Carranza, E.J.M., Zhou, K., 2019. Assessment of geochemical anomaly uncertainty through geostatistical stochastic simulation and singularity analysis. Natural Resources Research 28, 199-212.
  11. Liu, Y., Xia, Q., Carranza, E.J.M., 2019. Integrating sequential indicator simulation and singularity analysis to analyze uncertainty of geochsemical anomaly for exploration targeting of tungsten polymetallic mineralization, Nanling belt, South China. Journal of Geochemical Exploration 197, 143-158.
  12. Motta, J.G., de Souza Filho, C.R., Carranza, E.J.M., Braitenberg, C., 2019. Archean crust and metallogenic zones in the Amazonian Craton sensed by satellite gravity data. Scientific Reports 9, 2565.
  13. Rdadd, L., Jemmali, N., Carranza, E.J.M., 2019. Organic matter and metal contents within the Cretaceous rocks of the Slata-Guern Halfaya area, North-Central Tunisia: implication for ore genesis. Ore Geology Reviews 113, 103070.
  14. Sharestani, S., Mokhtari, A.R., Carranza, E.J.M., Hosseini-Dinani, H., 2019. Comparison of efficiency of techniques for delineating uni-element anomalies from stream sediment geochemical landscapes. Journal of Geochemical Exploration 197, 184-198.
  15. Wang, C., He, X., Carranza, E.J.M., Cui, C., 2019. Paleoproterozoic volcanic rocks in the southern margin of the North China Craton, central China: Implications for the Columbia supercontinent. Geoscience Frontiers 10, 1543-1560.
  16. Wang, D., Liu, J., Carranza, E.J.M., Zhai, D., Wang, Y., Zhen, S., Wang, J., Wang, J., Liu, Z., Zhang, F., 2019. Formation and evolution of snowball quartz phenocrysts in the Dongping porphyritic granite, Hebei Province, China: Insights from fluid inclusions, cathodoluminescence, trace elements, and crystal size distribution study. Lithos 340-341, 239-254.
  17. Wang, D., Liu, J., Zhai, D., Carranza, E.J.M., Wang, Y., Zhen, S., Wang, J., Wang, J., Liu, Z., Zhang, F., 2019. Mineral paragenesis and ore-forming processes of the Dongping gold deposit, Hebei province, China. Resource Geology 69, 287-313.
  18. Wang, X., Liu, J., Carranza, E.J.M., Zhai, D., 2019. A combined approach using spatially-weighted principal component analysis and wavelet transformation for geochemical anomaly mapping in the Dashui ore-concentration district, Central China. Journal of Geochemical Exploration 197, 228-237.
  19. Yang, F., Xie, S., Carranza, E.J.M., Yao, L., Tian, H., Chen, Z., 2019. Vertical distribution of major ore-forming elements and the speciation in the semiarid system above the concealed Baiyinnuoer Pb-Zn Deposit in Inner Mongolia, China. Geochemistry: Exploration, Environment, Analysis 19, 46-57.
  20. Yang, X., Carranza, E.J.M., Wu, J., Liu, J., 2020. Gold mineralization assisted by crustal melting: the case of the Maevatanana mesothermal gold deposit, Madagascar. Arabian Journal of Geosciences 12(11), 345.
  21. Yin, C., Liu, J., Carranza, E.J.M., Zhai, D., Guo, J., 2019. Mineralogical constraints on the genesis of the Dahu quartz vein-style Au-Mo deposit, Xiaoqinling gold district, China: implications for phase relationships and physicochemical conditions. Ore Geology Reviews 113, 103107.
  22. Zhang, S., Xiao, K., Carranza, E.J.M., Yang, F., 2019. Maximum Entropy and Random Forest modeling of mineral potential: analysis of gold prospectivity in the Hezuo–Meiwu District, West Qinling Orogen, China. Natural Resources Research 28, 645-664.
  23. Zhang, S., Xiao, K., Carranza, E.J.M., Yang, F., Zhao, Z., 2019. Integration of auto-encoder network with density-based spatial clustering for geochemical anomaly detection for mineral exploration. Computers & Geosciences 130, 43-56.
  24. Zhang, Z., Wang, G., Carranza, E.J.M., Zhang, J., Tao, G., Zeng, Q., Sha, D., Li, D., Shen, J., Pang, Z. 2019. Metallogenic model of Wulong gold district, China, and associated assessment of exploration criteria based on multiscale geoscience datasets. Ore Geology Reviews 114, 103138.
  25. Zhou, W., Xie, S., Bao, Z., Carranza, E.J.M., Lei, L., Ma, Z., 2019. Chemical compositions and distribution characteristics of cements in Longmaxi Formation Shales, Sichuan, China. Journal of Earth Science 30, 879-892.
  26. Zhu, L., Liu, J., Bagas, L., Carranza, E.J.M., Zhai, D., Meng, G., Wang, J., Wang, Y., Zhang, F., Liu, Z., 2019. The Yinachang Fe-Cu-Au-REE deposit and its relationship with intermediate to mafic intrusions, SW China: implications for ore genesis and geodynamic setting. Ore Geology Reviews 104, 190-207.
  27. Zuo, R., Xiong, Y., Wang, J., Carranza, E.J.M., 2019. Deep learning and its application in geochemical mapping. Earth Science Review 192, 1-14.

2018:

  1. Carranza, E.J.M., 2018. Natural Resources Research Publications on Resourcing Future Generations, and Introduction of Papers in this Special Issue. Natural Resources Research 27, 125-141.
  2. Chen, F., Wang, Q., Yang, S., Zhang, Q., Liu, X., Chen, J., Carranza, E.J.M., 2018. Space-time distribution of manganese ore deposits along the southern margin of the South China Block, in the context of Paleo-Tethyan evolution. International Geology Review 60, 72-86.
  3. Chen, J., Wang, Q., Zhang, Q., Carranza, E.J.M., Wang, J., 2018. Mineralogical and geochemical investigations on the high iron gibbsite-type bauxite in Yongjiang basin, SW China. Journal of Geochemical Exploration 188, 413-426.
  4. Haddad-Martim, P.M., Carranza, E.J.M., de Souza Filho, C.R., 2018. The fractal nature of structural controls on ore formation: the case of the iron oxide-copper-gold deposits in the Carajás Mineral Province, Brazilian Amazon. Economic Geology 113, 1499-1524.
  5. Lei, L., Xie, S., Chen, Z., Carranza, E.J.M., Bao, Z., Cheng, Q., Yang, F., 2018. Distribution patterns of petroleum indices based on multifractal and spatial PCA. Journal of Petroleum Science and Engineering 171, 714-723.
  6. Liu, Y., Zhou, K., Carranza, E.J.M., 2018. Compositional balance analysis for geochemical pattern recognition and anomaly mapping in the western Junggar region, China. Geochemistry: Exploration, Environment, Analysis 18, 263-276.
  7. Xiong, Y., Zuo, R., Carranza, E.J.M., 2018. Mapping mineral prospectivity through big data analytics and a deep learning algorithm. Ore Geology Reviews 102, 811-817.
  8. Yang, L., Zhao, R., Wang, Q., Liu, X., Carranza, E.J.M., 2018. Fault geometry and fluid-rock reaction: combined controls on mineralization in the Xinli gold deposit, Jiaodong Peninsula, China. Journal of Structural Geology 111, 14-26.
  9. Yuan, F., Liu, J., Carranza, E.J.M., Zhai, D., Zhang, S., Liu, G., Wu, J., Sha, Y., 2018. The Guangshigou uranium deposit, northern Qinling Orogen, China: a product of assimilation-fractional crystallization of pegmatitic magma. Ore Geology Reviews 99, 17-41.
  10. Yuan, F., Liu, J., Carranza, E.J.M., Zhang, S., Zhai, D., Liu, G., Wang, G., Zhang, H., Sha, Y., Yang, S., 2018. Zircon trace element and isotopic (Sr, Nd, Hf, Pb) effects of assimilation-fractional crystallization of pegmatite magma: a case study of the Guangshigou biotite pegmatites from the North Qinling Orogen, central China. Lithos 302-303, 20-36.

2017:

  1. Almasi, A., Yousefi, M., Carranza, E.J.M., 2017. Prospectivity analysis of orogenic gold deposits in Saqez-Sardasht Goldfield, Iran. Ore Geology Reviews 91, 1066-1080.
  2. Carranza, E.J.M., 2017. Geochemical mineral exploration: should we use enrichment factors or log-ratios? Natural Resources Research 26, 411-428.
  3. Carranza, E.J.M., 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, 379-410.
  4. Haddad-Martim, P.M., De Souza Filho, C.R., Carranza, E.J.M., 2017. Spatial analysis of mineral deposit distribution: a review of methods and implications for structural controls on iron oxide-copper-gold mineralization in Carajás, Brazil. Ore Geology Reviews 81, 230-244.
  5. Jemmali, N., Carranza, E.J.M., Zemmel, B., 2017. Isotope geochemistry of Mississippi Valley Type stratabound fluorite-bearing Zn-Pb ores of Hammam Zriba (Province of Zaghouan, NE Tunisia). Chemie der Erde 77, 477-486.
  6. Khalajmasoumi, M., Sadeghi, B., Carranza, E.J.M., Sadeghi, M., 2017. Geochemical anomaly recognition of rare earth elements using multi-fractal modeling correlated with geological features, Central Iran. Journal of Geochemical Exploration 181, 318-332.
  7. Parsa, M., Maghsoudi, A., Carranza, E.J.M., Yousefi, M., 2017. Enhancement and mapping of weak multivariate stream Sediment geochemical anomalies in Ahar Area, NW Iran. Natural Resources Research 26, 443-455.
  8. Parsa, M., Maghsoudi, A., Yousefi, M., Carranza, E.J.M., 2017. Multifractal interpolation and spectrum–area fractal modeling of stream sediment geochemical data: implications for mapping exploration targets. Journal of African Earth Sciences 128, 5-15.
  9. Wang, G., Du, W., Carranza, E.J.M., 2017. Remote sensing and GIS prospectivity mapping for magmatic-hydrothermal base- and precious-metal deposits in the Honghai district, China. Journal of African Earth Sciences 128, 97-115.
  10. Yang, L., Wang, Q., Liu, H., Carranza, E.J.M., Li, G., Zhou, D., 2017. Identification and mapping of geochemical patterns and their significance for regional metallogeny in southern Sanjiang, China. Ore Geology Reviews 90, 1042-1053.
  11. Yang, L., Wang, Q., Zhang, Q., Carranza, E.J.M., Liu, H., Liu, X., 2017. Interaction between karst terrain and bauxites: evidence from Quaternary orebody distribution in Guangxi, SW China. Scientific Reports 7, 11842.
  12. Yousefi, M., Carranza, E.J.M., 2017. Union score and fuzzy logic mineral prospectivity mapping using discretized and continuous spatial evidence values. Journal of African Earth Sciences 128, 47-60.
  13. Zuo, R., Carranza, E.J.M., 2017. A fractal measure of spatial association between landslides and conditioning factors. Journal of Earth Science 28, 588-594.

2016:

  1. Asadi, H.H., Sansoleimani, A., Fatehi, M., Carranza, E.J.M., 2015. An AHP-TOPSIS predictive model for district-scale mapping of porphyry Cu-Au potential: a case study from Salafchegan area (central Iran). Natural Resources Research 25, 417-429.
  2. Carranza, E.J.M., Laborte, A.G., 2016. Data-driven predictive modeling of mineral prospectivity using Random Forests: a case study in Catanduanes Island (Philippines). Natural Resources Research 25, 35-50.
  3. Geranian, H., Tabatabaei, Asadi, H.H., Carranza, E.J.M., 2016. Application of discriminant analysis and support vector machine in mapping gold potential areas for further drilling in the Sari-Gunay gold deposit, NW Iran. Natural Resources Research 25, 145-159.
  4. He, Y., Wang, J., Wang, C., Carranza, E.J.M., Chen, L., Wu, B., 2016. Petrogenesis, zircon U-Pb age, and geochemistry of the A-type Mogou syenite, western Henan Province: implications for Mesozoic tectono-magmatic evolution of the Qinling Orogen. Journal of Earth System Science 125, 585-603.
  5. Jemmali, N., Souissi, F., Carranza, E.J.M., Henchiri, M., 2015. Geochemistry of Triassic carbonates: exploration guide to Pb-Zn mineralization in Northern of Tunisia. Resource Geology 66, 335-350.
  6. Li, R., Wang, G., Carranza, E.J.M., 2016. GeoCube: A 3D mineral resources quantitative prediction and assessment system. Computers & Geosciences 89, 161-173.
  7. Liu, C., Liu, J., Carranza, E.J.M., Yang, L., Wang, J., Zhai, D., Wang, Y., Wu, J., Dai, H., 2016. Geological and geochemical constraints on the genesis of the Huachanggou gold deposit, western Qinling orogen, Central China. Ore Geology Reviews 73, part 2, 354-373.
  8. Lu, Y., Liu, J., Zhang, D., Carranza, E.J.M., Zhai, D., Ge, L., Sun, H., Wang, B., Chen, Y., Liu, P., 2016. Genesis of the Saishitang skarn type copper deposit, West Qinling, Qinghai Province: evidence from fluid inclusions and stable isotopes. Ore Geology Reviews 75, 268-283.
  9. Nazarpour, A., Paydar, G.R., Carranza, E.J.M., 2016. Stepwise regression for recognition of geochemical anomalies: case study in Takab area, NW Iran. Journal of Geochemical Exploration 168, 150-162.
  10. Wang, G., Feng, Y., Carranza, E.J.M., Li, R., Li, Z., Wang, D., Kong, L., Wen, B., Feng, Z., Zhao, Z., 2016. Typomorphic characteristics of pyrite: criteria for 3D exploration targeting in the Xishan gold deposit, China. Journal of Geochemical Exploration 164, 136-163.
  11. Yousefi, M., Carranza, E.J.M., 2016. Data-driven index overlay and Boolean logic mineral prospectivity modeling in greenfields exploration. Natural Resources Research 25, 3-18.
  12. Zuo, R., Carranza, E.J.M., 2016. Geoinformatics in Applied Geochemistry. Journal of Geochemical Exploration 164, 1-2. (Editorial)
  13. Zuo, R., Carranza, E.J.M., Wang, J., 2016. Spatial analysis and visualization of exploration geochemical data. Earth Science Reviews 158, 9-18.

2015:

  1. Andrada de Palomera, P., van Ruitenbeek, F.J.A., Carranza, E.J.M., 2015. Prospectivity for epithermal gold-silver deposits in the Deseado Massif, Argentina. Ore Geology Reviews 71, 484-501.
  2. Carranza, E.J.M., 2015. Data-driven evidential belief modeling of mineral potential using few prospects and evidence with missing values. Natural Resources Research 24, 291-304.
  3. Carranza, E.J.M., Laborte, A.G., 2015. Data-driven predictive mapping of gold prospectivity, Baguio district, Philippines: application of Random Forests algorithm. Ore Geology Reviews 71, 777-787.
  4. Carranza, E.J.M., Laborte, A.G., 2015. Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines). Computers & Geosciences 74, 60-70.
  5. Carranza, E.J.M., Sadeghi, M., Billay, A., 2015. Predictive mapping of prospectivity for orogenic gold, Giyani greenstone belt (South Africa). Ore Geology Reviews 71, 703-718.
  6. Deng, J., Wang, C., Bagas, L., Carranza, E.J.M., Lu, Y., 2015. Cretaceous-Cenozoic tectonic history of the Jiaojia fault and gold mineralization in the Jiaodong Peninsula, China: constraints from zircon U-Pb, illite K-Ar and apatite fission track thermochronometry. Mineralium Deposita 50, 987-1005.
  7. Gonbadi, A.G., Tabatabaei, S.H., Carranza, E.J.M., 2015. Supervised geochemical anomaly detection by pattern recognition. Journal of Geochemical Exploration 157, 81-91.
  8. Gorum, T., Carranza, E.J.M., 2015. Control of style-of-faulting on spatial pattern of earthquake-triggered landslides. International Journal of Environmental Science and Technology 12, 3189-3212.
  9. Granian, H., Tabatabaei, Asadi, H.H., Carranza, E.J.M., 2015. Multivariate regression analysis of lithogeochemical data to model subsurface mineralization: a case study from the Sari Gunay epithermal gold deposit, NW Iran. Journal of Geochemical Exploration 148, 249-258.
  10. Liu, J., Liu, C., Carranza, E.J.M., Li, Y., Shan, L., Wang, J., 2015. Geological characteristics and ore-forming process of the gold deposits in the western Qinling region, China. Journal of Asian Earth Sciences 103, 40-69.
  11. Porwal, A., Carranza, E.J.M., 2015. Introduction to the Special Issue: GIS-based mineral potential modelling and geological data analyses for mineral exploration. Ore Geology Reviews 71, 477-483. (Editorial)
  12. Sadeghi, B., Madani, N., Carranza, E.J.M., 2015. Combination of geostatistical simulation and fractal modeling for mineral resource classification. Journal of Geochemical Exploration 149, 59-73.
  13. Sadeghi, M., Billay, A., Carranza, E.J.M., 2015. Analysis and mapping of soil geochemical anomalies: implications in bedrock mapping and gold exploration in the Giyani area, South Africa. Journal of Geochemical Exploration 154, 180-193.
  14. Wang, C., Deng, J., Santosh, M., Carranza, E.J.M., Gong, Q., Guo, C., Xia, R., Lai, X., 2015. Timing, tectonic implications and genesis of gold mineralization in the Xincheng gold deposit, China: C–H–O isotopes, pyrite Rb–Sr and zircon fission track thermochronometry. Ore Geology Reviews 65, 659-673.
  15. Wang, C., Deng, J., Santosh, M., Lu, Y., McCuaig, T.C., Carranza, E.J.M., Wang, Q., 2015. Age and origin of the Bulangshan and Mengsong granitoids in the Sanjiang region and their significance for understanding Changning–Menglian Paleo-Tethys evolution. Journal of Asian Earth Sciences 113, part 2, 656-676.
  16. Wang, G., Li, R., Carranza, E.J.M., Zhang, S., Yan, C., Zhu, Y., Qu, J., Hong, D., Song, Y., Han, J., Ma, Z., 2015. 3D geological modeling for prediction of subsurface Mo targets in the Luanchuan district, China. Ore Geology Reviews 71, 592-610.
  17. Wang, J., Liu, J., Carranza, E.J.M., Liu, Z., Liu, B., Wang, K., Zeng, X., Wang, H., Liu, C., 2014. A possible genetic model of the Shuangwang hydrothermal breccia gold deposit, Shaanxi Province, Central China: evidence from fluid inclusion and stable isotope. Journal of Asian Earth Sciences 111, 840-852.
  18. Wang, W., Zhao, J., Cheng, Q., Carranza, E.J.M., 2015. GIS-based mineral potential modeling by advanced spatial analytical methods in the southeastern Yunnan mineral district, China. Ore Geology Reviews 71, 735-748.
  19. Xia, R., Wang, C., Qing, M., Deng, J., Carranza, E.J.M., Li, W., Ge, L., Guo, X., Yu, W., 2015. Molybdenite Re-Os, zircon U-Pb dating and Hf isotopic analysis of the Shuangqing Fe-Pb-Zn-Cu skarn deposit, East Kunlun Mountains, Qinghai Province, China. Ore Geology Reviews 66, 114-131.
  20. Xia, R., Wang, C., Qing, M., Li, W., Carranza, E.J.M., Guo, X., Ge, L., Zeng, G., 2014. Zircon U–Pb dating, geochemistry and Sr–Nd–Pb–Hf–O isotopes for the Nan’getan granodiorites and mafic microgranular enclaves in the East Kunlun Orogen: record of closure of the Paleo-Tethys. Lithos 234-235, 47-60.
  21. Yilmaz, H., Sonmez, F.N., Carranza, E.J.M., 2015. Discovery of Au-Ag mineralization by geochemical grassroots exploration in metamorphic terrain with extensional tectonic regime in western Turkey. Journal of Geochemical Exploration 158, 55-73.
  22. Yousefi, M., Carranza, E.J.M., 2015. Fuzzification of continuous-value spatial evidence for mineral prospectivity mapping. Computers & Geosciences 74, 97-109.
  23. Yousefi, M., Carranza, E.J.M., 2015. Prediction-area (P-A) plot and C-A fractal analysis to classify and evaluate evidential maps for mineral prospectivity modeling. Computers & Geosciences 79, 69-81.
  24. Yousefi, M., Carranza, E.J.M., 2015. Geometric average of spatial evidence data layers: a GIS-based multi-criteria decision making approach to mineral prospectivity mapping. Computers & Geosciences 83, 72-79.
  25. Zuo, R., Zhang, Z., Zhang, D., Gao, Y., Carranza, E.J.M., Wang, H., 2015. Evaluation of uncertainty in mineral prospectivity mapping due to missing evidence: a case study with skarn-type Fe deposits in Southwestern Fujian Province, China. Ore Geology Reviews 71, 502-515.

2014:

  1. Abdolmaleki, M., Mokhtari, A.R., Akbar, S., Alipour Asll, M., Carranza, E.J.M., 2014. Catchment basin analysis of stream sediment data: incorporation of slope effect. Journal of Geochemical Exploration 140, 96-103.
  2. Carranza, E.J.M., Sadeghi, M., 2014. Post-VMS mineralization deformations (1880-1820 Ma) of the Skellefte district (Sweden): insights from the spatial pattern of VMS occurrences. Frontiers of Earth Science 8, 319-324.
  3. Deng, J., Gong, Q., Wang, C., Carranza, E.J.M., Santosh, M., 2014. Sequence of Late Jurassic-Early Cretaceous magmatic-hydrothermal events in the Xiong’ershan region, Central China: an overview with new zircon U-Pb geochronology data on quartz porphyries. Journal of Asian Earth Sciences 79, 161-172.
  4. Deng, J., Yuan, W., Carranza, E.J.M., Yang, L., Wang, C., Yang, L., Hao, N., 2014. Geochronology and thermochronometry of the Jiapigou gold belt, northeastern China: new evidence for multiple episodes of mineralization. Journal of Asian Earth Sciences 89, 10–27.
  5. Herbert, S., Woldai, T., Carranza, E.J.M., Van Ruitenbeek, F.J.A., 2014. Predictive mapping of prospectivity for orogenic gold in Uganda. Journal of African Earth Sciences 99 (part 2; Special Volume of the 24th Colloquium of African Geology), 666-693.
  6. Jemmali, N., Souissi, F., Carranza, E.J.M., Vennemann, T.W., Bogdanov, K., 2014. Geochemical constraints on the genesis of the Pb-Zn deposit of Jalta (northern Tunisia): implications for timing of mineralization, sources of metals and relationship to the Neogene volcanism. Chemie der Erde 74, 601-613.
  7. Liu, J., Cao, Y., Carranza, E.J.M., Feng, C., Zhai, D., Wang, J., Li, J., 2014. Characterization of secondary native selenium in the Yutangba Se deposit, western Hubei, China. Resource Geology 64, 271-281.
  8. Shahriari, H., Ranjbar, H., Honarmand, M., Carranza, E.J.M., 2014. Selection of less biased threshold angles for SAM classification using the real value–area fractal technique. Resource Geology 64, 301-315.
  9. Wang, C., Deng, J., Carranza, E.J.M., Wang, Q., Ma, N., Lai, X., 2014. Tin metallogenesis associated with granitoids in the southwestern Sanjiang Tethyan Domain: nature, types, and tectonic setting. Gondwana Research 26, 576-593.
  10. Wang, C., Deng, J., Hou, Z., Carranza, E.J.M., Wang, Q., 2014. Nature, diversity and temporal-spatial distributions of sediment-hosted Pb-Zn deposits in China. Ore Geology Reviews 56, 327-351.
  11. Xia, R., Wang, C., Deng, J., Carranza, E.J.M., Li, W., Qing, M., 2014. Crustal thickening prior to 220 Ma in the East Kunlun orogenic belt: insights from the Late Triassic granitoids in the Xiao-Nuomuhong pluton. Journal of Asian Earth Sciences 93, 193-210.
  12. Yousefi, M., Kamkar-Rouhani, A., Carranza, E.J.M., 2014. Application of staged factor analysis and logistic function to create a fuzzy stream sediment geochemical evidence for mineral prospectivity mapping. Geochemistry: Environment, Exploration, Analysis 14, 45-58.
  13. Zarasvandi, A., Carranza, E.J.M., Heidari, M., Mousapour, E., 2014. Environmental factors of urinary stones mineralogy, Khouzestan province, Iran. Journal of African Earth Sciences 97, 368-376.

2013:

  1. Jemmali, N., Souissi, F., Carranza, E.J.M., Bouabdellah, M., 2013. Lead and sulfur isotope constraints on the genesis of the polymetallic mineralization at Oued Maden, Jebel Hallouf and Fedj Hassene carbonate-hosted Pb–Zn (As–Cu–Hg–Sb) deposits, Northern Tunisia. Journal of Geochemical Exploration 132, 6-14.
  2. Jemmali, N., Souissi, F., Carranza, E.J.M., Vennemann, T.W., 2013. Mineralogical and geochemical constraints on the genesis of the carbonate-hosted Jebel Ghozlane Pb-Zn deposit (Nappe zone, Northern Tunisia). Resource Geology 63, 27-41.
  3. Jemmali, N., Souissi, F., Carranza, E.J.M., Vennemann, T.W., 2013. Sulfur and lead isotopes of Guern Halfaya and Bou Grine deposits (Domes zone, Northern Tunisia): implications for sources of metals and timing of mineralization. Ore Geology Reviews 54, 17-28.
  4. Sadeghi, M., Morris, G., Carranza, E.J.M., Ladenberger, A., Andersson, M., 2013. Rare earth element distribution and mineralization in Sweden: application of principal component analysis to FOREGS soil geochemistry. Journal of Geochemical Exploration 133, 160-175.
  5. Salati, S., Van Ruitenbeek, F.J.A., Carranza, E.J.M., Van der Meer, F.D., 2013. Conceptual modeling of onshore hydrocarbon seep occurrence in the Dezful Embayment, SW Iran. Marine and Petroleum Geology 43, 102-120.
  6. Wang, C., Carranza, E.J.M., Liu, X., Zhang, S., Da, Z., Yang, L., Sun, X., Duan, C., 2013. Characterization of primary geochemical haloes for gold exploration at the Huanxiangwa gold deposit, China. Journal of Geochemical Exploration 124, 40-58.
  7. Wang, C., Zhang, D., Wu, G., Xu, Y., Carranza E.J.M., Zhang, Y., Li, H., Geng, J., 2013. Zircon U-Pb geochronology and geochemistry of the rhyolitic tuff, granite porphyry, and syenogranite in the Lengshuikeng ore district, SE China: implications for a continental arc to rifting. Journal of Earth System Science 122, 809-830.
  8. Yousefi, M., Carranza, E.J.M., Kamkar-Rouhani, A., 2013. Weighted drainage catchment basin mapping of stream sediment geochemical anomalies for mineral potential mapping. Journal of Geochemical Exploration 128, 88-96.

2012:

  1. Cao, Y., Carranza, E.J.M., Li, S.G., Yao, M.J., Zhang, H.F., 2012. Source and evolution of fluids in the Shihu gold deposit, Taihang Mountains, China: evidence from microthermometry, chemical composition and noble gas isotope of fluid inclusions. Geochemistry: Exploration, Environment, Analysis 12, 177-191.
  2. Carranza, E.J.M., 2012. Geochemical characteristics of mineral deposits: implications for ore genesis. Geochemistry: Exploration, Environment, Analysis 12, 89-92. (Editorial)
  3. Carranza, E.J.M., Sadeghi, M., 2012. Primary geochemical characteristics of mineral deposits – implications for exploration. Ore Geology Reviews 45, 1-4. (Editorial)
  4. Ghosh, S., Van Westen, C.J., Carranza, E.J.M., Jetten, V.G., 2012. Integrating spatial, temporal and magnitude probabilities for medium-scale landslide risk analysis in Darjeeling Himalayas, India. Landslides 9, 371-384.
  5. Ghosh, S., Van Westen, C.J., Carranza, E.J.M., Jetten, V.G., Guzzetti, F., Rossi, M., Cardinali, M., 2012. Generating event-based landslide maps in a data-scarce Himalayan environment for estimating temporal and magnitude probabilities. Engineering Geology 128, 49-62.
  6. Han, R.S., Liu, C.Q., Carranza, E.J.M., Hou, B., Huang, Z.L., Wang, X.K., Hu, Y.Z., Lei, L., 2012. REE geochemistry of altered tectonites in the Huize base-metal district, Yunnan, China. Geochemistry: Exploration, Environment, Analysis 12, 127-146.
  7. Li, N., Carranza, E.J.M., Ni, Z., Guo, D., 2012. The CO2-rich magmatic-hydrothermal fluid of the Qiyugou breccia pipe, Henan Province, China: implication for breccia genesis and gold mineralization. Geochemistry: Exploration, Environment, Analysis 12, 147-160.
  8. Ma, X., Carranza, E.J.M., Wu, C., van der Meer, F.D., 2012. Ontology-aided annotation, visualization and generalization of geological time scale information from online geological map services. Computers & Geosciences 40, 107-119.
  9. Van der Meer, F.D., Van der Werff, H.M.A., Van Ruitenbeek, F.J.A., Hecker, C.A., Bakker, W.H., Noomen, M.F., Van der Meijde, M., Carranza, E.J.M., De Smeth, J.B., Woldai, T., 2012. Multi- and hyperspectral geologic remote sensing: a review. International Journal of Applied Earth Observation and Geoinformation 14, 112-128.
  10. Wang, G., Carranza, E.J.M., Zuo, R., Hao, Y., Du, Y., Pang, Z., Sun, Y., Qu, J., 2012. Mapping of district-scale potential targets using fractal models. Journal of Geochemical Exploration 122, 47-54.
  11. Yousefi, M., Kamkar-Rouhani, A., Carranza, E.J.M., 2012. Geochemical mineralization probability index (GMPI): a new approach to generate enhanced stream sediment geochemical evidential map for increasing probability of success in mineral potential mapping. Journal of Geochemical Exploration 115, 24-35.
  12. Zarasvandi, A., Carranza, E.J.M., Ellahi, S.S., 2012. Geological, geochemical, and mineralogical characteristics of the Mandan and Deh-now bauxite deposits, Zagros Fold Belt, Iran. Ore Geology Reviews 48, 125-138.
  13. Zuo, R., Carranza, E.J.M., Cheng, Q., 2012. Fractal/multifractal modelling of geochemical exploration data. Journal of Geochemical Exploration 122, 1-3. (Editorial)

2011:

  1. Bahadori, A., Carranza, E.J.M., Soleimani, B. 2011. Geochemical analysis of evaporate sedimentation in the Gachsaran Formation, Zeloi oil field, southwest Iran. Journal of Geochemical Exploration 111, 97-112.
  2. Beg M.K., Srivastav, S.K., Carranza, E.J.M., De Smeth, J.B., 2011. High fluoride incidence in groundwater and its potential health effects in parts of Raigarh District, Chhattisgarh, India. Current Science 100, 750-751.
  3. Carranza, E.J.M., 2011. Analysis and mapping of geochemical anomalies using logratio-transformed stream sediment data with censored values. Journal of Geochemical Exploration 110, 167-185.
  4. Carranza, E.J.M., 2011. From predictive mapping of mineral prospectivity to quantitative estimation of number of undiscovered prospects. Resource Geology 61, 30-51.
  5. Carranza, E.J.M., 2011. Geochemical sampling for geological-environmental studies. Journal of Geochemical Exploration 111, 57-58. (Editorial)
  6. Carranza, E.J.M., 2011. Geocomputation of mineral exploration targets. Computers & Geosciences 37, 1907-1916. (Editorial)
  7. Carranza, E.J.M., 2011. Thematic issue: isotopic geochemistry of mineral deposits – implication for ore genesis. Resource Geology 61, 313-315. (Editorial)
  8. Ghosh, S., Carranza, E.J.M., Van Westen, C.J., Jetten, V.G., Bhattacharya, D.N., 2011. Selecting and weighting spatial predictors for empirical modeling of landslide susceptibility in the Darjeeling Himalayas (India). Geomorphology 131, 35-56.
  9. Jemmali, N., Souissi, F., Vennemann, T.W., Carranza, E.J.M., 2011. Genesis of the Jurassic carbonate-hosted Pb-Zn deposit of Jebel Ressas (North-Eastern Tunisia): evidence from mineralogy, petrography and metallic trace elements and isotope (O, C, S, Pb) geochemistry. Resource Geology 61, 367-383.
  10. Liu, Y.C., Hou, Z.Q., Yang, Z.S., Tian, S.H., Yang, T.N., Song, Y.C., Zhang, H.R., Carranza, E.J.M., 2011. Formation of the Dongmozhazhua Pb-Zn deposit in the thrust-fold setting of the Tibetan plateau, China: evidence from fluid inclusion and stable isotopes. Resource Geology 61, 384-406.
  11. Ma, X, Asch, K., Laxton, J.L., Richard, S.M., Asato, C.G., Carranza, E.J.M., van der Meer, F.D., Wu, C., Duclaux, G., Wakita, K., 2011. Data exchange facilitated. Nature Geoscience 4, 814.
  12. Ma, X., Carranza, E.J.M., Wu, C., van der Meer, F.D., Liu, G., 2011. A SKOS-based multilingual thesaurus of geological time scale for interoperability of online geological maps. Computers & Geosciences 37, 1602-1615.
  13. Ranjbar, H., Masoumi, F., Carranza, E.J.M., 2011. Evaluation of geophysics and spaceborne multispectral data for alteration mapping in the Sar Cheshmeh mining area, Iran. International Journal of Remote Sensing 32, 3309-3327.
  14. Zarasvandi, A., Carranza, E.J.M., Moore, F., Nazarpour, A., 2011. Spatio-temporal occurrences and mineralogical–geochemical characteristics of airborne dusts in Khuzestan Province (southwestern Iran). Journal of Geochemical Exploration 111, 138-151.
  15. Zhao, J., Chen, S., Zuo, R., Carranza, E.J.M., 2011. Mapping complexity of spatial distribution of faults using fractal and multifractal models: vectoring towards exploration targets. Computers & Geosciences 37, 1958-1966.
  16. Ziaii, M., Carranza, E.J.M., Ziaei, M., 2011. Application of geochemical zonality coefficients in weights-of-evidence modeling of mineral prospectivity. Computers & Geosciences 37, 1935-1945.
  17. Zuo, R., Carranza, E.J.M., 2011. Support vector machine: a tool for mapping mineral prospectivity. Computers & Geosciences 37, 1967-1975.

2010:

  1. Carranza, E.J.M., 2010. Catchment basin modelling of stream sediment anomalies revisited: incorporation of EDA and fractal analysis. Geochemistry: Exploration, Environment, Analysis 10, 365-381.
  2. Carranza, E.J.M., 2010. Improved wildcat modelling of mineral prospectivity. Resource Geology 60, 129-149.
  3. Carranza, E.J.M., 2010. Mapping of anomalies in continuous and discrete fields of stream sediment geochemical landscapes. Geochemistry: Exploration, Environment, Analysis 10, 171-187.
  4. Carranza, E.J.M., Sadeghi, M., 2010. Predictive mapping of prospectivity and quantitative estimation of undiscovered VMS deposits in Skellefte district (Sweden). Ore Geology Reviews 38, 219-241.
  5. Ghosh, S., Carranza, E.J.M., 2010. Spatial analysis of mutual fault/fracture and slope controls on rocksliding in Darjeeling Himalaya, India. Geomorphology 122, 1-24.
  6. Ghosh, S., Günther, A., Carranza, E.J.M., Van Westen, C.J., Jetten, V.G., 2010. Rock slope instability assessment using spatially distributed structural orientation data in Darjeeling Himalaya (India). Earth Surface Processes and Landforms 35, 1773-1792.
  7. Ma, X., Carranza, E.J.M., Van der Meer, F.D., Wu, C., Zhang, X., 2010. Algorithms for multi-parameter constrained compositing of borehole assay intervals from economic aspects. Computers & Geosciences 36, 945-952.
  8. Ma, X., Wu, C., Carranza, E.J.M., Schetselaar, E.M., Van der Meer, F.D. Liu, G., Wang, X., Zhang, X., 2010. Development of a controlled vocabulary for semantic interoperability of mineral exploration geodata for mining projects. Computers & Geosciences 36, 1512-1522.

2009:

  1. Bemigisha, J., Carranza, E.J.M., Skidmore, A.K., McCall, M., Polce, C., Prins, H.H.T., 2009. Representation of uncertainty and integration of PGIS-based grazing intensity maps using evidential belief functions. Transactions in GIS 13, 273-293.
  2. Carranza, E.J.M., 2009. Controls on mineral deposit occurrence inferred from analysis of their spatial pattern and spatial association with geological features. Ore Geology Reviews 35, 383-400.
  3. Carranza, E.J.M., 2009. Objective selection of suitable unit cell size in data-driven modeling of mineral prospectivity. Computers & Geosciences 35, 2032-2046.
  4. Carranza, E.J.M., Owusu, E., Hale, M., 2009. Mapping of prospectivity and estimation of number of undiscovered prospects for lode-gold, southwestern Ashanti Belt, Ghana. Mineralium Deposita 44, 915-938.
  5. Debba, P., Carranza, E.J.M., Stein, A., Van der Meer, F.D., 2009. Deriving optimal exploration target zones on mineral prospectivity maps. Mathematical Geosciences 41, 421-446.
  6. Ghosh, S., Van Westen, C.J., Carranza, E.J.M., Ghoshal, T.B., Sarkar, N.K., Surendranath, M., 2009. A quantitative approach for improving the BIS (Indian) method of medium-scale landslide susceptibility. Journal of Geological Society of India, 74, 625-638.

2008:

  1. Carranza, E.J.M., Hale, M., Faassen, C., 2008. Selection of coherent deposit-type locations and their application in data-driven mineral prospectivity mapping. Ore Geology Reviews 33, 536-558.
  2. Carranza, E.J.M., Van Ruitenbeek, F.J.A., Hecker, C., Van der Meijde, M., Van der Meer, F.D., 2008. Knowledge-guided data-driven evidential belief modeling of mineral prospectivity in Cabo de Gata, SE Spain. International Journal of Applied Earth Observation and Geoinformation 10, 374-387.
  3. Carranza, E.J.M., Wibowo, H., Barritt, S.D., Sumintadireja, P., 2008. Spatial data analysis and integration for regional-scale geothermal potential mapping, West Java, Indonesia. Geothermics 37, 267-299.
  4. Zarasvandi, A., Charchi, A., Carranza, E.J.M., 2008. Karst bauxite deposits in the Zagros Mountain Belt, Iran. Ore Geology Reviews 34, 521-532.

2007:

  1. Farifteh, J., Van der Meer, F.D., Atzberger, C., Carranza, E.J.M., 2007. Quantitative analysis of salt-affected soil reflectance spectra; a comparison of two adaptive methods (PLSR and ANN). Remote Sensing of Environment 110, 59-78.
  2. Farifteh, J., Van der Meer, F.D., Carranza, E.J.M., 2007. Similarity measures for spectral discrimination of salt-affected soils. International Journal of Remote Sensing 28, 5273-5293.

2006:

  1. Carranza, E.J.M., Castro, O.T., 2006. Predicting lahar-inundation zones: case study in west Mount Pinatubo, Philippines. Natural Hazards 37, 331-372.
  2. Debba, P., Carranza, E.J.M., Van der Meer, F.D., Stein, A., 2006. Abundance estimation of spectrally similar minerals by using derivative spectra in simulated annealing. IEEE Transactions on Geoscience and Remote Sensing 44, 3649-3658.
  3. Porwal, A., Carranza, E.J.M., Hale, M., 2006. A hybrid fuzzy weights-of-evidence model for mineral potential mapping. Natural Resources Research 15, 1-15.
  4. Porwal, A., Carranza, E.J.M., Hale, M., 2006. Bayesian network classifiers for mineral potential mapping. Computers & Geosciences 32, 1-16.
  5. Porwal, A., Carranza, E.J.M., Hale, M., 2006. Tectonostratigraphy and base-metal mineralization controls, Aravalli province (western India): new interpretations from geophysical data analysis. Ore Geology Reviews 29, 287-306.

2005:

  1. Carranza, E.J.M., Woldai, T., Chikambwe, E.M., 2005. Application of data-driven evidential belief functions to prospectivity mapping for aquamarine-bearing pegmatites, Lundazi district, Zambia. Natural Resources Research 14, 47-63.
  2. Debba, P., Van Ruitenbeek, F.J.A., Van der Meer, F. D., Carranza, E.J.M., Stein, A., 2005. Optimal field sampling for targeting minerals using hyperspectral data. Remote Sensing of Environment 99, 373-386.
  3. Duker, A.A., Carranza, E.J.M., Hale, M., 2005. Arsenic geochemistry and health. Environment International 31, 631-641.
  4. Duker, A.A., Carranza, E.J.M., Hale, M., 2005. Spatial relationship between arsenic in drinking water and Mycobacterium ulcerans infection in the Amansie West District, Ghana. Mineralogical Magazine 69, 707-717.
  5. Sicat, R.S., Carranza, E.J.M., Nidumolu, U.B., 2005. Fuzzy modeling of farmers’ knowledge for land suitability classification. Agricultural Systems 83, 49-75.

2004:

  1. Carranza, E.J.M., 2004. Usefulness of stream order to detect stream sediment geochemical anomalies. Geochemistry: Exploration, Environment, Analysis 4, 341-352.
  2. Carranza, E.J.M., 2004. Weights-of-evidence modelling of mineral potential: a case study using small number of prospects, Abra, Philippines. Natural Resources Research 13, 173-187.
  3. Duker, A.A., Carranza, E.J.M., Hale, M., 2004. Spatial dependency of Buruli ulcer prevalence on arsenic-enriched domains in Amansie West District, Ghana: implication for arsenic mediation in Mycobacterium ulcerans infection. International Journal of Health Geographics, 3:19 (15 September 2004). Online publication: http://www.ij-healthgeographics.com/content/3/1/19.
  4. Porwal, A., Carranza, E.J.M., Hale, M., 2004. A hybrid neuro-fuzzy model for mineral potential mapping. Mathematical Geology 36, 803-826.

2003:

  1. Carranza, E.J.M., Hale, M., 2003. Evidential belief functions for data-driven geologically constrained mapping of gold potential, Baguio district, Philippines. Ore Geology Reviews 22, 117-132.
  2. Porwal, A., Carranza, E.J.M., Hale, M., 2003. Artificial neural networks for mineral potential mapping: a case study from Aravalli Province, Western India. Natural Resources Research 12, 155-171.
  3. Porwal, A., Carranza, E.J.M., Hale, M., 2003. Knowledge-driven and data-driven fuzzy models for predictive mineral potential mapping. Natural Resources Research 12, 1-25.

2002:

  1. Carranza, E.J.M., Hale, M., 2002. Mineral imaging with Landsat Thematic Mapper data for hydrothermal alteration mapping in heavily-vegetated terrane. International Journal of Remote Sensing 23, 4827-4852.
  2. Carranza, E.J.M., Hale, M., 2002. Spatial association of mineral occurrences and curvilinear geological features. Mathematical Geology 34, 203-221.
  3. Carranza, E.J.M., Hale, M., 2002. Where are porphyry copper deposits spatially localized? A case study in Benguet province, Philippines. Natural Resources Research 11, 45-59.
  4. Carranza, E.J.M., Hale, M., 2002. Wildcat mapping of gold potential, Baguio district, Philippines. Transactions of Institution of Mining and Metallurgy, Section B – Applied Earth Science 111, May-August 2002, B100-B105.

2001:

  1. Carranza, E.J.M., Hale, M., 2001. Geologically constrained fuzzy mapping of gold mineralization potential, Baguio district, Philippines. Natural Resources Research 10, 125-136.
  2. Carranza, E.J.M., Hale, M., 2001. Logistic regression for geologically-constrained mapping of gold mineralization potential, Baguio district, Philippines. Exploration and Mining Geology Journal 10, 165-175.
  3. Porwal, A., Carranza, E.J.M., Hale, M., 2001. Extended weights-of-evidence modeling for predictive mapping of base metal deposit potential, Aravalli province, India. Exploration and Mining Geology Journal 10, 273-287.

2000:

  1. Carranza, E.J.M., Hale, M., 2000. Geologically constrained probabilistic mapping of gold potential, Baguio district, Philippines. Natural Resources Research 9, 237-253.

1999:

  1. Carranza, E.J.M., Mangaoang, J.C., Hale, M., 1999. Application of mineral deposit models and GIS to generate mineral potential maps as input for optimum land-use planning in the Philippines. Natural Resources Research 8, 165-173.

1997:

  1. Carranza, E.J.M., Hale, M., 1997. A catchment basin approach to the analysis of geochemical-geological data from Albay province, Philippines. Journal of Geochemical Exploration 60, 157-171.

 

Research

To develop and disseminate expertise/knowledge in predicting mineral prospectivity and estimating undiscovered mineral endowment through understanding of relevant mineral systems and application of geographic information system and remote sensing technology.

 

Area(s) of Interest
  1. Geochemistry for mineral exploration and ore genesis studies
  2. Spatial mathematics/statistics for predictive modeling of mineral resources
  3. Remote sensing for geological/mineral exploration
Expertise
  1. Geochemistry for mineral exploration and ore genesis studies
  2. Spatial mathematics/statistics for predictive modeling of mineral resources
  3. Remote sensing for geological/mineral exploration
Courses Presented
  1. GLGY3724 Economic Geology
  2. GLGY3764 Exploration Geology
  3. GLGY6863 Advanced Economic and Exploration Geology

 

Contact Me
Name
E-mail
Subject
Message
Verification Code
Retype Verification Code


BLOEMFONTEIN CAMPUS FACULTY CONTACT

Elfrieda van den Berg (Marketing Manager)
T: +27 51 401 2531
E:vdberge@ufs.ac.za

QWAQWA CAMPUS FACULTY CONTACT

Dilahlwane Mohono (Faculty Officer)
T: +27 58 718 5284
E:naturalscienceqq@ufs.ac.za

Home new

We use cookies to make interactions with our websites and services easy and meaningful, to better understand how they are used and to tailor advertising. You can read more and make your cookie choices here. By continuing to use this site you are giving us your consent to do this.

Accept