Compositional data arise naturally in several branches of science, including geology. In geochemistry, for example, these constrained data seem to occur typically, when one normalizes raw data or when one obtains the output from a constrained estimation procedure, such as percentages, ppm, ppb, molar concentrations, etc. Compositional data have proved difficult to handle statistically because of the awkward constraint that the components of each vector must sum to unity. The special property of compositional data (the fact that the determinations on each specimen sum to a constant) means that the variables involved in the study occur in constrained space defined by the simplex, a restricted part of real space.
We will introduce you to an effective and affordable methodology that identifies prospective targets which are related to, or controlled by tectonic structures. Even over new areas with limited or nonexistent geological information we are able to help you concentrate your exploration efforts to keep your budget in the black.