Abstract: As one of the most important methods to study the correlation between different elements, element variation diagram intuitively shows the variation of elements during magma evolution process. However, traditional element variation diagram could not reveal geochemical behaviors of different elements at different magma evolution stages, which significantly limit the further application of geological big data. In order to process and analyze geological big data-based element variation diagrams, the exhaustion method combined with linear fitting were adopted to draw geochemical big data-based element variation diagrams in this paper. This method had been implemented in the framework of MATLAB GUI and developed a new software (Elemental Behavior of Magmatic Evolution, EBME)
to draw the element variation diagram automatically. More than 200,000 records of geochemical data with different tectonic settings from the GEOROCK database were collected and cleaned, and then imported into EBME software and processed. The results showed that the EBME software can quickly generate element variation diagrams and clearly show the variations of elements in different stages of magmatic evolution and different tectonic settings, indicating that EBME software could be an effective and efficient tool to cipher the evolution of elements in magma system.

Key words: element variation diagram, geochemical big data, interval linear fitting, element behavior