Generalized Space-Time Autoregressive Modeling of the Vertical Distribution of Copper and Gold Grades with a Porphyry-Deposit Case Study
Abstract
Keywords
Full Text:
PDFReferences
A. Audétat, “The metal content of magmatic-hydrothermal fluids and its relationship to mineralization potential,†Econ. Geol., vol. 114, no. 6, pp. 1033–1056, 2019, doi: 10.5382/econgeo.4673.
J. Janocko, M. Ryzhkova, T. Mamzina, and S. Bereznev, “Digitalization of economic evaluation of mineral deposits,†E3S Web Conf., vol. 105, pp. 1–7, 2019, doi: 10.1051/e3sconf/201910504030.
A Evans, Ore Geology and Industrial Minerals an Introduction. UK: BlackwellScientific, 1993.
R. H. Sillitoe, “Porphyry copper systems,†Econ. Geol., vol. 105, no. 1, pp. 3–41, 2010, doi: 10.2113/gsecongeo.105.1.3.
M. Yousefi, “Analysis of zoning pattern of geochemical indicators for targeting of porphyry-Cu Mineralization:A Pixel-Based Mapping Approach,†Nat. Resour. Res., vol. 26, no. 4, pp. 429–441, 2017.
F. T. Alain Cheilletz, Ewan Pelleter, Agustin Martin-Izard, “World Skarn Deposits : Skarns of Western Canada,†no. Table 8, pp. 1–5, 1996.
Y. Zhao et al., “A new Seasonal Difference Space-Time Autoregressive Integrated Moving Average (SD-STARIMA) model and spatiotemporal trend prediction analysis for Hemorrhagic Fever with Renal Syndrome (HFRS),†PLoS One, vol. 13, no. 11, pp. 1–20, 2018, doi: 10.1371/journal.pone.0207518.
S. Rathod, B. Gurung, K. N. Singh, and M. Ray, “An improved Space-Time Autoregressive Moving Average ( STARMA ) model for Modelling and Forecasting of Spatio-Temporal time-series data An improved Space-Time Autoregressive Moving Average ( STARMA ) model for Modelling and Forecasting of Spatio-Temporal,†vol. 72, no. January 2019, 2018.
U. Mukhaiyar and U. S. Pasaribu, “A new procedure for generalized STAR modeling using IAcM approach,†ITB J. Sci., vol. 44 A, no. 2, pp. 179–192, 2012, doi: 10.5614/itbj.sci.2012.44.2.7.
Yundari, U. S. Pasaribu, and U. Mukhaiyar, “Error assumptions on generalized STAR model,†J. Math. Fundam. Sci., vol. 49, no. 2, pp. 136–155, 2017, doi: 10.5614/j.math.fund.sci.2017.49.2.4.
Yundari, U. S. Pasaribu, U. Mukhaiyar, and M. N. Heriawan, “Spatial Weight Determination of GSTAR(1;1) Model by Using Kernel Function,†in Journal of Physics: Conference Series, 2018, vol. 1028, no. 1, doi: 10.1088/1742-6596/1028/1/012223.
M. Amrani and H. Zeghdoudi, “on Multivariate Spatio-Temporal Time Series Models and Causality Test Using Covid-19 Data,†Adv. Math. Sci. J., vol. 10, no. 2, pp. 1037–1052, 2020, doi: 10.37418/amsj.10.2.32.
U. S. Pasaribu, U. Mukhaiyar, N. M. Huda, K. N. Sari, and S. W. Indratno, “Modelling COVID-19 growth cases of provinces in java Island by modified spatial weight matrix GSTAR through railroad passenger’s mobility,†Heliyon, vol. 7, no. 2, p. e06025, 2021, doi: 10.1016/j.heliyon.2021.e06025.
H. Pramoedyo, A. Ashari, and A. Fadliana, “Forecasting and Mapping Coffee Borer Beetle Attacks Using GSTAR-SUR Kriging and GSTARX-SUR Kriging Models,†ComTech Comput. Math. Eng. Appl., vol. 11, no. 2, pp. 65–73, 2020, doi: 10.21512/comtech.v11i2.6389.
R Silitoe, “Exploration of Porphyry Copper Lithocaps,†Australas. Inst. Min. Metal. Publ. Ser., vol. 9, no. 95, pp. 527–532, 1995.
T. M. Van Leeuwen and P. E. Pieters, “Mineral deposits of Sulawesi,†no. December, 2011, doi: 10.13140/2.1.3843.2322.
C. H. Fleming and J. M. Calabrese, “A new kernel density estimator for accurate home-range and species-range area estimation,†Methods Ecol. Evol., vol. 8, no. 5, pp. 571–579, 2017, doi: 10.1111/2041-210X.12673.
Y. C. Chen, “A tutorial on kernel density estimation and recent advances,†Biostat. Epidemiol., vol. 1, no. 1, pp. 161–187, 2017, doi: 10.1080/24709360.2017.1396742.
J. Emmanuel Johnson, V. Laparra, A. Pérez-Suay, M. D. Mahecha, and G. Camps-Valls, “Kernel methods and their derivatives: Concept and perspectives for the earth system sciences,†PLoS One, vol. 15, no. 10 October, pp. 1–30, 2020, doi: 10.1371/journal.pone.0235885.
K. N. S. Yundari, Nurainul Miftahul Huda, Udjianna S Pasaribu, Utriweni Mukhaiyar, “Stationary Process in GSTAR(1;1) through Kernel Function,†2020.
S. W. R. Yundari, “Invertibility of Generalized Space-Time Autoregressive Model with Random Weight,†Cauchy J. Mat. Murni dan Apl., vol. 6, no. 4, pp. 246–259, 2021.
DOI: http://dx.doi.org/10.18517/ijaseit.12.5.14835
Refbacks
- There are currently no refbacks.
Published by INSIGHT - Indonesian Society for Knowledge and Human Development