OPTIMIZATION OF SPATIAL DATA SAMPLE FOR GOLD MINERAL PREDICTION

Amri, Nur Ali and Jemain, Abdul Aziz Jemain and Fudholi, Ahmad (2016) OPTIMIZATION OF SPATIAL DATA SAMPLE FOR GOLD MINERAL PREDICTION. Journal of Engineering and Applied Sciences (JEAS), 11 (15). 9065 -9068.

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Abstract

This study examines the relationship between the results of semivariogram fitting conformity with estimating based on errors produced. The experimental semivariogram estimation was calculated using robust methods, while the theoretical semivariogram function used are spherical and exponential models, with weighted least squares and ordinary least squares approaches. Consistently, the four semivariogram fittings produce root mean square error (RMSE) fluctuates, while the values are proportionally to the median absolute deviation (MAD) generated by ordinary kriging. Keywords: robust semivariogram, WLS and OLS, ordinary kriging

Item Type: Article
Uncontrolled Keywords: robust semivariogram, WLS and OLS, ordinary kriging
Subjects: T Technology > TN Mining engineering. Metallurgy
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Dr. ST. MT Nur Ali Amri
Date Deposited: 19 Nov 2021 12:12
Last Modified: 19 Nov 2021 12:12
URI: http://eprints.upnyk.ac.id/id/eprint/27079

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