Volume 15 (2024)
Volume 14 (2023)
Volume 13 (2022)
Volume 12 (2021)
Volume 11 (2020)
Volume 10 (2019)
Volume 9 (2018)
Volume 8 (2017)
Volume 7 (2016)
Volume 6 (2015)
Volume 5 (2014)
Volume 4 (2013)
Volume 3 (2012)
Volume 2 (2011)
Volume 1 (2010)
A Practical Comparison between Gaussian and Direct Sequential Simulation Algorithms using a 3D Porosity Dataset

H. Sabeti; F. Moradpouri

Volume 13, Issue 2 , April 2022, , Pages 547-557


  The geo-statistical simulation algorithms for continuous spatial variables have been used widely in order to generate the statistically-honored models. There are two main algorithms doing the continuous variable simulation, Sequential Gaussian Simulation (SGS) and Direct Sequential Simulation (DSS). ...  Read More

Discriminating copper geochemical anomalies and assessment of their reliability using a combination of sequential Gaussian simulation and gap statistic methods in Hararan area, Kerman, Iran

S. Abbaszade; F. Mohammad Torab; A. Alikhani; H. Molayemat

Volume 10, Issue 1 , January 2019, , Pages 75-86


  In geochemical exploration, there are various techniques such as univariate and multivariate statistical methods available for recognition of anomalous areas. Univariate techniques are usually utilized to estimate the threshold value, which is the smallest quantity among the values representing the anomalous ...  Read More

Spatial modelling of zonality elements based on compositional nature of geochemical data using geostatistical approach: a case study of Baghqloom area, Iran

S. Talesh Hosseini; O. Asghari; Seyed R. Ghavami Riabi

Volume 9, Issue 1 , January 2018, , Pages 153-167


  Due to the existence of a constant sum of constraints, the geochemical data is presented as the compositional data that has a closed number system. A closed number system is a dataset that includes several variables. The summation value of variables is constant, being equal to one. By calculating the ...  Read More