. Dimitrakopoulos, R. (2010). Advances in orebody modelling and strategic mine planning I. Spectroscopy Series, 17, 345.
. Rezaei, A. (2019). Modeling the effect of structural pattern on mineralization in Sangan Central Iron Ore Mine [PhD Dissertation]. Amirkabir University of Technology, Department of Mining and Metallurgical Engineering, p. 364.
. Silva, D. and Boisvert, J. (2014). Mineral resource classification: a comparison of new and existing techniques. Journal of the Southern African Institute of Mining and Metallurgy, 114 (3), 265 -273.
. Cressie, N. (1990). The Origins of Kriging. Mathematical Geology, 22 (3), 239-52.
. Shu-yun, X., Yong-guo, Y., Zheng-yu, B., Xianzhong, K. and Xiao-long, L. (2009). Mineral resource analysis by parabolic fractals. Mining Science and Technology, Vol. 19, pp. 91-96.
. Shamseddin Meigooni, M, Lotfi,M, Afzal,P, Nezafati, N. and Kargar Razi, M. (2021). Detection of rare earth element anomalies in Esfordi phosphate deposit of Central Iran, using geostatistical-fractal simulation. Geopersia (In press)
. Wang, Q., Deng, J., Zhao, J., Li, N. and Wan, L. (2012). The fractal relationship between orebody tonnage and thickness. Journal of Geochemical Exploration, Vol. 122, pp. 4-8.
. Arik, A. (2002). Comparison of resource classification methodologies with a new approach. APCOM 2002: 30th International Symposium on the Application of Computers and Operations Research in the Mineral Industry, Phoenix, Arizona, 57–64.
. Hajsadeghi, S., Asghari, O., Mirmohammadi ,M., Afzal, P. and Meshkani, S. (2020). Uncertainty-volume fractal model for delineating copper mineralization controllers using geostatistical simulation in Nohkouhi volcanogenic massive sulfide deposit, Central Iran. Bulletin of the Mineral Research and Exploration 161, 1-11.
. Dohm, C. (2005). Quantifiable mineral resource classification-A logical approach, in Leuangthong, O., and Deutsch, C. V., eds., Geostatistics Banff 2004: Springer, Dordrecht, 1, 333–342.
. Rendu, J.M. and Miskelly, N. (2001). Mineral resources andmineral reserves: Progress on international definitions and reporting standards: Trans. Inst. Min. Metall. Sect. A Min. Technol., 110, 133–138.
. USGS, (1980). Principles of a resource/reserve classification for minerals: U.S. Geological Survey Circular 831, 5.
. SME, (1999). A guide for reporting exploration information, resources, and reserves: Report prepared by SME Resources and Reserves Committee, Society for Mining, Metallurgy and Exploration, 17.
. SAMREC. (2000). South African Code for Reporting of Mineral Resources and Mineral Reserves (the SAMREC code): Report prepared by the South African Mineral Resource Committee SAMREC under the auspices of the South African Institute of Mining and Metallurgy, 38.
. CIM. (2000). CIM Standards on Mineral Resources and Reserves– Definitions and Guidelines, Standards of Disclosure for Mineral Projects (NI 43-101), Canadian CIM Guidelines.
. CSA. (2001). Standards of disclosure for mineral projects: National Instrument 43–101, Canadian Securities Administration, 22.
. EURO. (2002). Code for reporting ofmineral exploration results,mineral resources andmineral reserves (the European code): Report prepared by the Institution ofMining and MetallurgyWorking Group on Resources and Reserves in conjunction with the European Federation of Geologists and the Institute of Geologists of Ireland, 34.
. JORC. (2004). Australasian code for reporting of exploration results, mineral resources and ore reserves (the JORC code, 2004 Edition): Report prepared by the Joint Ore Reserve Committee of the Australasian Institute of Mining andMetallurgy, Australian Institute of Geoscientists and Minerals Council of Australia, 21.
. Chil`es, J.P. and Delfiner, P. (1999). Geostatistics: Modeling spatial uncertainty: Wiley, New York, 695.
. Gharechahi, Z., Rezapoor, M.,Torabi, GH. (2014). Petrology of Eocene volcanic rocks in Saghand-Kuh-e-Kushumi region (Yazd province), https://civilica.com/doc/267784.
. Wilde, B. (2009). Minimizing error variance in estimates by optimum placement of samples. CCG Anuual Report 11, Paper 406.
. Rezaei, A., Hassani, H., Fard Mousavi, S.B. and Jabbari, N. (2019). Evaluation of Heavy Metals Concentration in Jajarm Bauxite Deposit in Northeast of Iran Using Environmental Pollution Indices, Malaysian Journal of Geosciences, 12-20.
. Rezaei, A., Hassani, H., Fard Mousavi, S.B., Hassani, S. and Jabbari, N. (2019). Assessment of heavy metals contamination in surface soils in Meiduk copper mine area, SE Iran, Journal of Earth Sciences Malaysia, 1-8.
. Krige, D. (1996). A practical analysis of the effects of spatial structure and of data available and accessed, on conditional biases in ordinary kriging. Geostatistics Wollongong, 96, 799-810.
. Datamine Studio 3. (2006). Version 184.108.40.206., Users Tutorial.
. JORC. (2012). Australasian Code for Reporting of Identified Mineral Resources and Ore Reserves (the JORC code). The Joint Ore Reserves Committee of the Australasian Institute of Mining and Metallurgy, Australian Institute of Geoscientists, and Minerals Council of Australia.
. Rivoirard, J. and Renard, D. (2016). A specific volume to measure the spatial sampling of deposits. Mathematical Geosciences. 48 (7): 791–809.
. Vann, J., Jackson, S. and Bertoli, O. (2003). Quantitative Kriging Neighbourhood Analysis for the Mining Geologist – A Description of the Method with Worked Case Examples. In: Proceedings Fifth International Mining Geology Conference, (The Australasian Institute of Mining and Metallurgy: Melbourne), 215-223.
. Journel, A.G., and Huijbregts, C.H.J. (1978). Mining Geostatistics, Centre de Geostatistique Fontainebleau. France.
. David, M. (1988). Handbook of applied advanced geostatistical ore reserve estimation: Elsevier, Amsterdam, 216.
. Sayyadi, A.H., Fathianpour, N. and Mousavi, A. (2012). “Application of Conditional Sequential Gaussian Simulation in Uncertainty Assessment of the Estimated Blocks Grade in Sordid Phosphate Mine”. Journal of analytical and numerical methods in mining engineering (in Persian).
. Jalali, M., Rahimipour, G.R., Dianti, M.R. and Niyazad, M. (2010). Investigating the Validity of Linear and Nonlinear Kriging Estimates in the zonation of ore and Tile Blocks in Sarcheshmeh Mine”. Scientific quarterly journal geosciences (in Persian).
. Hassani Pak, A. (2003).” Error and Risk Management in Exploration”. Tehran University Press; First Edition (in Persian).