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Why use ioGAS? |
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Mining and exploration companies spend considerable sums to acquire geochemical data. Most companies derive only a fraction of the potential value of their data due to limited data analysis and interpretation tools. This is because tools such as GIS packages and Excel spreadsheets are not specifically designed for analysing geochemical data. They are time consuming to use and may end up compromising the quality of the interpretation by limiting how you view your data.
ioGAS has been specially developed for geochemical data analysis. It offers the best tools and workflows for efficiently interpreting your data by capturing the experience and knowledge of ioGlobal’s team of world-class geochemists.
Through the ioGAS dynamic graphical environment, you can interact with the data in real time, making it effortless for you to detect patterns, anomalies, and relationships across your data. Combined with optimised workflows, you can produce high-quality interpretive outputs with the confidence that you have applied best practices developed by a team of geochemical experts. Most importantly these results can be produced in a fraction of the time taken by traditional tools.
Key Features and Benefits
- Dynamic Linked Graphical Environment
Vary size, shape and colour of points independently and update them live across all displays based on selections and attributes within your data. Render groups of data visible and invisible on-the-fly. Lock and unlock axis scales, toggle grid lines on and off, select from user configurable colour ramps and vary symbol sizes using a graphical selector. Keep track of your changes with an automatically updating legend. Save attribute (size, shape, colour) schemes and apply them to new data.
Apply all of the above to XY, Probability, Histogram, Ternary, Pie, Box, Spider, Parallel Coordinate Plots and Attribute Maps.
- Data Validation Tools
Replace zeros in numeric and coordinate fields with null, convert '-' and '<' data to half the values, identify samples that have valid values for all of the selected variables and identify duplicate samples ID's quickly so that you can get on with your analysis. Remove columns from the dataset that contain only null values.
- Data Field Name Aliasing
Match imported field names to defined element/unit combinations and co-ordinate fields with ease using ioGAS' 'guessing' logic. Aliased data allows automatic units correction prior to plotting spider plots, classification diagrams and performing calculations. Transfer your data into ioGAS rapidly.
- Dynamic Summary Statistics and Frequency Tables
Selectable summary statistics reports that respond dynamically to parameter selection, data visibility, data grouping and multivariate or univariate modes, ie summary stats for all available data within the selected elements or restricted to where there is valid data for an entire row for each selected element.
Use frequency tables to validate data and as a dynamic tool that responds to visibility. Determine which lab/batch/geol unit, etc contributes most to problematic data interactively using selection tools. Copy the results to the clipboard for use in reports, presentations and spreadsheets.
- Data Levelling
Level data by text attributes (geology, regolith, analytical method, fraction, laboratory batch) to remove artefacts from the data and reveal anomalies that would otherwise be masked. Methods available include mean, median, Z-score, gauss, percentile with log versions where appropriate.
- Attribute and Ranked Variable Maps
Display located data in a geographical “pseudo map” view. X and Y axes scaled at 1:1 with data points attributed using colour, shape and size parameters. Ranked variable maps display a single variable with a selected colour scheme and size ramp applied.
- Automatically Generated Interpretive Thematic Maps
Automatically make thematic maps that identify outliers (including 'by group'). Use red/green/blue colour addition to determine spatial relationships between three elements simultaneously to determine zonation patterns. Combine the automated outlier thematic routine with the RGB zonation mapping tool to create '4D' summary maps with a couple of mouse clicks.
- Google Earth Export
Output attribute maps and ranked variable maps to Google Earth and view the points in spatial context exactly as they are attributed within ioGAS. Share results from ioGAS with colleagues by producing a portable Google Earth *.KMZ file.
- Geochemistry Optimised Imaging
Use a gridding and imaging algorithm optimised for geochemical data to produce the best possible representation of your data with a couple of mouse clicks. Colouring and shading schemes are designed to extract the maximum amount of useful information possible from your data. Apply to many elements simultaneously. Export the imagery as Geotiff outputs for direct registered import into Mapinfo, ArcGIS, Google Earth Pro etc.
- Classification Diagrams
ioGAS contains a suite of inbuilt diagrams for rocktype classification, alteration modelling and diamond indicator mineral, Ni exploration, PER-GER and regolith classifications. Apply reference polygon labels to size, shape and/or colour attributes. Write classifications to data file for export. Diagrams automatically cater for element/units/oxide conversions and mathematical expressions. Update diagrams supplied by ioGlobal over the net with a simple mouse click. Comments and references for all shipped diagrams are available as tooltips and diagram sensitive pop-ups.
Create your own diagrams comprising polygons, polylines, lines and point features. Generate polygons from point density contours or colour attribute groups. Share in-house developed diagrams using simple text files.
- Calculations
ioGAS contains a number of exploration indices, alteration, igneous geochemistry and regolith calculations. Element/oxide/unit conversions can be automatically performed using the ioGAS column “aliasing” functionality. Create and save calculations. Calculated columns added to data file for export. Share in-house developed calculations using simple text files. Update calculations supplied by ioGlobal over the net with a simple mouse click.
- Parallel Coordinate Plots
A new and effective way of visualising multi-element signatures associated with anomalies and group attributes. The plots respond to visibility, with colour, shape and size attributes represented at all point locations. Samples are selectable; individual sample traces may be turned on and off, cycle between individual mode and statistical summary traces by colour group.
- Dynamic Spider Plots
Add your own normalisations, change normalisation with a mouse click, change modes to plot all normalisation elements or just those with data and then report the normalising elements that are missing. Add mean, median, standard deviation and inter-quartile ranges by group summaries with a button click.
- Point Density
Display coloured point density regions on XY and YX scatter plots, Scatter Plot Matrix (SPLOM) and Ternary plots.Visually determine where most of the data in a plot is concentrated. Control point density parameters including grid cell size, smoothing, threshold level, colour scheme and opacity. Extract contoured point density regions and use in classification diagrams.
- Mineral Compositions
Display minerals and groups of minerals on XY and YX scatter plots, Scatter Plot Matrix (SPLOM) and Ternary plots. Mineral nodes are automatically projected regardless of oxide/element/unit of geochemical variables displayed. Select all minerals in a mineral group or specific minerals within groups and maintain the selection between work sessions.
Screenshots (click on link to view larger image):
Ranked Variable Maps Attribute Map Split Probability Plots   
Spider Plots Parallel Coord Plot Summary Statistics
  
Attribute Manager Gridded Images Classification Diagrams
  
Google Earth Export Point Density Mineral Compositions
  
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| * REIMANN, C., ÄYRÄS, M., CHEKUSHIN, V., BOGATYREV, I., BOYD, R., CARITAT, P. de, DUTTER, R., FINNE, T.E., HALLERAKER, J.H., JÆGER, Ø., KASHULINA, G., LEHTO, O., NISKAVAARA, H., PAVLOV, V., RÄISÄNEN, M.L., STRAND, T. & VOLDEN, T., 1998. Environmental Geochemical Atlas of the Central Barents Region. ISBN 82-7385-176-1. NGU-GTK-CKE Special Publication, Geological Survey of Norway, Trondheim, Norway, 745 pp. | |
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