naa a22 4500 510755453 CHVBK 20180411083121.0 cr unu---uuuuu 180411e20130401xx s 000 0 eng 10.1007/s12594-013-0074-y doi (NATIONALLICENCE)springer-10.1007/s12594-013-0074-y Determining the best search neighbourhood in reserve estimation, using geostatistical method: A case study anomaly No 12A iron deposit in central Iran [Elektronische Daten] [Marzeihe Khakestar, Hassan Madani, Hossein Hassani, Parvizz Moarefvand] Ordinary kriging and non-linear geostatistical estimators are now well accepted methods in mining grade control and mine reserve estimation. In kriging, the search volume or ‘kriging neighbourhood' is defined by the user. The definition of the search space can have a significant impact on the outcome of the kriging estimate. In particular, too restrictive neighbourhood, can result in serious conditional bias. Kriging is commonly described as a ‘minimum variance estimator' but this is only true when the neighbourhood is properly selected. Arbitrary decisions about search space are highly risky. The criteria to consider when evaluating a particular kriging neighbourhood are the slope of the regression of the ‘true' and ‘estimated' block grades, the number of kriging negative weights and the kriging variance. Search radius is one of the most important parameters of search volume which often is determined on the basis of influence of the variogram. In this paper the above-mentioned parameters are used to determine optimal search radius. Geological Society of India, 2013 Negative kriging weights nationallicence Slope of the regression nationallicence Kriging variance nationallicence Khakestar Marzeihe Department of Mining, Metallurgical and Petroleum Engineering, Amirkabir University of Technology, 424, Hafez Ave., P.O. Box 15875-4413, 15914, Tehran, Iran aut Madani Hassan Department of Mining, Metallurgical and Petroleum Engineering, Amirkabir University of Technology, 424, Hafez Ave., P.O. Box 15875-4413, 15914, Tehran, Iran aut Hassani Hossein Department of Mining, Metallurgical and Petroleum Engineering, Amirkabir University of Technology, 424, Hafez Ave., P.O. Box 15875-4413, 15914, Tehran, Iran aut Moarefvand Parvizz Department of Mining, Metallurgical and Petroleum Engineering, Amirkabir University of Technology, 424, Hafez Ave., P.O. Box 15875-4413, 15914, Tehran, Iran aut Journal of the Geological Society of India Springer-Verlag 81/4(2013-04-01), 581-585 0016-7622 81:4<581 2013 81 12594 https://doi.org/10.1007/s12594-013-0074-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12594-013-0074-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Khakestar Marzeihe Department of Mining, Metallurgical and Petroleum Engineering, Amirkabir University of Technology, 424, Hafez Ave., P.O. Box 15875-4413, 15914, Tehran, Iran aut NATIONALLICENCE 700 1- Madani Hassan Department of Mining, Metallurgical and Petroleum Engineering, Amirkabir University of Technology, 424, Hafez Ave., P.O. Box 15875-4413, 15914, Tehran, Iran aut NATIONALLICENCE 700 1- Hassani Hossein Department of Mining, Metallurgical and Petroleum Engineering, Amirkabir University of Technology, 424, Hafez Ave., P.O. Box 15875-4413, 15914, Tehran, Iran aut NATIONALLICENCE 700 1- Moarefvand Parvizz Department of Mining, Metallurgical and Petroleum Engineering, Amirkabir University of Technology, 424, Hafez Ave., P.O. Box 15875-4413, 15914, Tehran, Iran aut NATIONALLICENCE 773 0- Journal of the Geological Society of India Springer-Verlag 81/4(2013-04-01), 581-585 0016-7622 81:4<581 2013 81 12594 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer