A neat compilation of geochemical plotting programs is given at:

https://serc.carleton.edu/NAGTWorkshops/petrology/plot_programs.html

Next, perhaps you can try: https://www.diagrams.net/

free, high quality diagramming software for flowcharts or diagrams, which allow online collaboration as well...

Options for advanced graphs and diagrams that you can consider incorporating into your work:

1. Scatter Plots: Scatter plots are useful for visualizing the relationship between two variables. In geochemical data processing, you can create scatter plots to examine the correlation or spatial distribution of different chemical elements or isotopes. You can plot one geochemical parameter on the x-axis and another on the y-axis, and each data point represents a sample location.

2. Contour Maps: Contour maps display the variations in a geochemical parameter over a geographic area. They are commonly used to visualize spatial patterns and gradients. By interpolating the geochemical data points, contour maps can show areas of high or low concentrations of a specific element or parameter.

3. Heatmaps: Heatmaps provide a visual representation of the intensity or density of geochemical data across a geographic region. They use color gradients to represent the magnitude of a particular parameter or the frequency of certain values. Heatmaps can show hotspots or clusters of high or low values, aiding in identifying spatial patterns in the data.

4. Box Plots: Box plots, also known as box-and-whisker plots, are useful for summarizing the distribution of geochemical data. They display the median, quartiles, and outliers of a dataset, providing insights into the central tendency, variability, and potential extremes of the data for different geochemical parameters.

5. Piper Diagrams: Piper diagrams are commonly used in hydrogeochemistry to represent the composition of water samples. They show the relative proportions of major ions (e.g., Na+, K+, Ca2+, Mg2+, Cl-, SO42-, HCO3-) in a triangular diagram. Piper diagrams can be useful for identifying the dominant water types, distinguishing between different sources, or tracking changes in water chemistry.

6. Stiff Diagrams: Stiff diagrams are similar to Piper diagrams but are specifically designed to represent the composition of groundwater samples. They provide a visual representation of the relative proportions of major ions, as well as the saturation indices of minerals. Stiff diagrams can help in evaluating water quality, identifying mineral precipitation or dissolution processes, and understanding geochemical reactions.

7. Chord Diagrams: Chord diagrams are particularly useful for visualizing relationships and interactions between different geochemical parameters or elements. They display the connections between variables using arcs or chords, with the width or color intensity indicating the strength or magnitude of the relationship.

8. Geographic Information System (GIS) Maps: GIS maps combine geochemical data with geospatial information, such as topography, land use, or geological features. They allow you to overlay and analyze geochemical data in the context of the surrounding environment. GIS maps can provide comprehensive insights into spatial patterns, hotspots, or correlations between geochemical parameters and environmental factors.

When selecting the appropriate graph or diagram for your geochemical data, consider the nature of your data, the research questions or hypotheses, and the specific insights you want to gain.

Hope it helps:credit AI