References
Bonham-Carter, G. F., 1994- Geographic information systems for geoscientists-modeling with GIS. Computer methods in the geoscientists, 13, 398.
Bonham-Carter, G. F., Agterberg, F. P. and Wright, D. F., 1989- Weights of evidence modelling: a new approach to mapping mineral potential. Statistical applications in the earth sciences, 89(9), 171- 183.
Carranza, E. J. M., 2008- Geochemical anomaly and mineral prospectivity mapping in GIS (Vol. 11). Elsevier.
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(2), 167- 185.
Chen, Y. and Wu, W., 2016- A prospecting cost-benefit strategy for mineral potential mapping based on ROC curve analysis. Ore Geology Reviews, 74, 26- 38.
Cheng, Q., 1999- Spatial and scaling modelling for geochemical anomaly separation. Journal of Geochemical exploration, 65(3), 175-194.
Cheng, Q., Agterberg, F. P. and Ballantyne, S. B., 1994- The separation of geochemical anomalies from background by fractal methods. Journal of Geochemical Exploration, 51(2), 109- 130.
Cooke, D. R., Hollings, P. and Walshe, J. L., 2005- Giant porphyry deposits: characteristics, distribution, and tectonic controls. Economic Geology, 100(5), 801- 818.
Coolbaugh, M. F., Raines, G. L. and Zehner, R. E., 2007- Assessment of exploration bias in data-driven predictive models and the estimation of undiscovered resources. Natural Resources Research, 16(2), 199- 207.
Filzmoser, P., Hron, K. and Reimann, C., 2009- Principal component analysis for compositional data with outliers. Environmetrics, 20(6), 621- 632.
Hezarkhani, A., 2006- Petrology of the intrusive rocks within the Sungun porphyry copper deposit, Azerbaijan, Iran. Journal of Asian Earth Sciences, 27(3), 326- 340.
Meinert, L. D., 2007- Mineral Deposits of Canada: A Synthesis of Major Deposit Types, District Metallogeny, the Evolution of Geological Provinces and Exploration Methods. Economic Geology, 102(7), 1355- 1355.
Mihalasky, M. J. and Bonham-Carter, G. F., 2001- Lithodiversity and its spatial association with metallic mineral sites, Great Basin of Nevada. Natural Resources Research, 10(3), 209- 226.
Nykänen, V., Groves, D. I., Ojala, V. J., Eilu, P. and Gardoll, S. J., 2008- Reconnaissance-scale conceptual fuzzy-logic prospectivity modelling for iron oxide copper–gold deposits in the northern Fennoscandian Shield, Finland. Australian Journal of Earth Sciences, 55(1), 25-38.
Parsa, M., Maghsoudi, A., Yousefi, M. and Sadeghi, M., 2016a- Prospectivity modeling of porphyry-Cu deposits by identification and integration of efficient mono-elemental geochemical signatures. Journal of African Earth Sciences, 114, 228- 241.
Parsa, M., Maghsoudi, A., Yousefi, M. and Sadeghi, M., 2016b- Recognition of significant multi-element geochemical signatures of porphyry Cu deposits in Noghdouz area, NW Iran. Journal of Geochemical Exploration, 165, 111- 124.
Pirajno, F., 2010- Intracontinental strike-slip faults, associated magmatism, mineral systems and mantle dynamics: examples from NW China and Altay-Sayan (Siberia). Journal of Geodynamics, 50(3), 325- 346.
Rowan, L. C., Hook, S. J., Abrams, M. J. and Mars, J. C., 2003- Mapping hydrothermally altered rocks at Cuprite, Nevada, using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), a new satellite-imaging system. Economic Geology, 98(5), 1019- 1027.
Sillitoe, R. H., 2010- Porphyry copper systems. Economic geology, 105(1), 3- 41.
Wang, Y. M. and Yang, J. B., 2007- Measuring the performances of decision-making units using interval efficiencies. Journal of Computational and Applied Mathematics, 198(1), 253- 267.
Yang, Z., Hou, Z., White, N. C., Chang, Z., Li, Z. and Song, Y., 2009- Geology of the post-collisional porphyry copper–molybdenum deposit at Qulong, Tibet. Ore Geology Reviews, 36(1), 133- 159.
Yousefi, M. and Carranza, E. J. M., 2015a- Fuzzification of continuous-value spatial evidence for mineral prospectivity mapping. Computers and Geosciences, 74, 97- 109.
Yousefi, M. and Carranza, E. J. M., 2015b- Geometric average of spatial evidence data layers: a GIS-based multi-criteria decision-making approach to mineral prospectivity mapping. Computers and Geosciences, 83, 72-79.
Yousefi, M. and Carranza, E. J. M., 2015c- Prediction-area (P–A) plot and C–A fractal analysis to classify and evaluate evidential maps for mineral prospectivity modeling. Computers and Geosciences, 79, 69- 81.
Yousefi, M. and Nykänen, V., 2017- Introduction to the special issue: GIS-based mineral potential targeting.
Yousefi, M., Kamkar-Rouhani, A. and Carranza, E. J. M., 2014- Application of staged factor analysis and logistic function to create a fuzzy stream sediment geochemical evidence layer for mineral prospectivity mapping. Geochemistry: Exploration, Environmental, Analysis, 14, 45- 58.
Zuo, R. and Wang, J., 2016- Fractal/multifractal modeling of geochemical data: a review. Journal of Geochemical Exploration, 164, 33- 41.