Indicator kriging is a recent advancement over other techniques for mineral deposit modeling and resource block model estimation, like ordinary kriging. In the starting days, Indicator kriging showed notable promise as a latest method that could accurately estimate whole global mineral deposit concentrations or grades. Indicator kriging is a method which depends on the data transformed from values which are continuous to binary values or it starts with explicit data. Indicator kriging estimator is a linear kriging estimator which is applied onto a set of components which assigns different values that are transformed based on a non-linear transform. Non linear transform which is used by Indicator kriging is called as codification by means of indication, which transforms every value included in the set into indicator values. The main attribute that makes indicator kriging having an edge of other techniques is because it is a simple non parametric method of interpolation. Indicator kriging is mainly used to estimate the probability of exceeding some predefined threshold value, but can also be used to approximate an entire distribution. Indicator kriging is distinguished by geostatistical non-linear procedures to design the variability of spatial attributes. These procedures can derive a discreet approximation to the distribution model of probability of the attribute, which is used to model randomness of its value. Journal of Geoinformatics & Geostatistics emerges as a best indexed, hybrid journal with impact factor compared to other competitive journals focusing on Indicator kriging by bringing up the recent research to global scientific community through its publications. The papers submitted are undergone through perfect plagiarism checks, later peer reviewed by the expert group and published after thorough revisions.