The influence of distance weight on the inverse distance weighted method for ore-grade estimation
Abstract In order to study the influence of distance weight on ore-grade estimation, the inverse distance weighted (IDW) is used to estimate the Ni grade and MgO grade of serpentinite ore based on a three-dimensional ore body model and related block models. Manhattan distance, Euclidean distance, Ch...
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2021
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oai:doaj.org-article:caf6457164cd476196eef700369952072021-12-02T14:16:42ZThe influence of distance weight on the inverse distance weighted method for ore-grade estimation10.1038/s41598-021-82227-y2045-2322https://doaj.org/article/caf6457164cd476196eef700369952072021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82227-yhttps://doaj.org/toc/2045-2322Abstract In order to study the influence of distance weight on ore-grade estimation, the inverse distance weighted (IDW) is used to estimate the Ni grade and MgO grade of serpentinite ore based on a three-dimensional ore body model and related block models. Manhattan distance, Euclidean distance, Chebyshev distance, and multiple forms of the Minkowski distance are used to calculate distance weight of IDW. Results show that using the Minkowski distance for the distance weight calculation is feasible. The law of the estimated results along with the distance weight is given. The study expands the distance weight calculation method in the IDW method, and a new method for improving estimation accuracy is given. Researchers can choose different weight calculation methods according to their needs. In this study, the estimated effect is best when the power of the Minkowski distance is 3 for a 10 m × 10 m × 10 m block model. For a 20 m × 20 m × 20 m block model, the estimated effect is best when the power of the Minkowski distance is 9.Zhan-Ning LiuXiao-Yan YuLi-Feng JiaYuan-Sheng WangYu-Chen SongHai-Dong MengNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021) |
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Medicine R Science Q Zhan-Ning Liu Xiao-Yan Yu Li-Feng Jia Yuan-Sheng Wang Yu-Chen Song Hai-Dong Meng The influence of distance weight on the inverse distance weighted method for ore-grade estimation |
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Abstract In order to study the influence of distance weight on ore-grade estimation, the inverse distance weighted (IDW) is used to estimate the Ni grade and MgO grade of serpentinite ore based on a three-dimensional ore body model and related block models. Manhattan distance, Euclidean distance, Chebyshev distance, and multiple forms of the Minkowski distance are used to calculate distance weight of IDW. Results show that using the Minkowski distance for the distance weight calculation is feasible. The law of the estimated results along with the distance weight is given. The study expands the distance weight calculation method in the IDW method, and a new method for improving estimation accuracy is given. Researchers can choose different weight calculation methods according to their needs. In this study, the estimated effect is best when the power of the Minkowski distance is 3 for a 10 m × 10 m × 10 m block model. For a 20 m × 20 m × 20 m block model, the estimated effect is best when the power of the Minkowski distance is 9. |
format |
article |
author |
Zhan-Ning Liu Xiao-Yan Yu Li-Feng Jia Yuan-Sheng Wang Yu-Chen Song Hai-Dong Meng |
author_facet |
Zhan-Ning Liu Xiao-Yan Yu Li-Feng Jia Yuan-Sheng Wang Yu-Chen Song Hai-Dong Meng |
author_sort |
Zhan-Ning Liu |
title |
The influence of distance weight on the inverse distance weighted method for ore-grade estimation |
title_short |
The influence of distance weight on the inverse distance weighted method for ore-grade estimation |
title_full |
The influence of distance weight on the inverse distance weighted method for ore-grade estimation |
title_fullStr |
The influence of distance weight on the inverse distance weighted method for ore-grade estimation |
title_full_unstemmed |
The influence of distance weight on the inverse distance weighted method for ore-grade estimation |
title_sort |
influence of distance weight on the inverse distance weighted method for ore-grade estimation |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/caf6457164cd476196eef70036995207 |
work_keys_str_mv |
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