Features and Benefits
The ioGAS software contains the following key features and benefits:
In Built Knowledge
The philosophy behind ioGAS tools is to capture the geochemical and mineralogical knowledge of experts and transfer it to industry professionals through easy-to-use tools.
Streamlined Data Import and Validation Tools
Import data into from a variety of source formats including Excel, Text, CSV, ODBC databases, GML and from selected field portable XRF units (Olympus Innov-X/Niton).
Match imported field names to defined element/unit combinations and co-ordinate fields with ease using the ‘guessing’ logic. Aliased data allows automatic units correction prior to plotting data within classification diagrams, performing calculations, displaying spider plot normalisations and adding mineral and rock nodes to plots.
Use the Data Doctor to “fix” any data problems such as replacing zeros with nulls, converting below detection limit data to a positive half value or other value or replacing > or text entries with custom values. Choose from a variety of other validation tools to search and replace data values, identify valid multivariate samples or to find duplicate samples quickly so that you can get on with your analysis. All changes to the original data are recorded in a log file for easy retrieval.
Dynamic Summary Statistics, Frequency Tables and Correlation Matrix
View summary statistics reports that respond dynamically to parameter selection, data visibility, data grouping and multivariate or univariate modes. Display summary statistics for all available data within the selected elements or restrict to only show results where there is valid data for an entire row.
Use frequency tables to validate data and as a dynamic tool that responds to sample visibility. Determine which laboratory, lab batch number or geological unit for example contribute most to problematic data interactively using selection tools. Copy the results to the clipboard for use in reports, presentations and spreadsheets. Display classical (Pearson’s) and Spearman Rank correlation matrix values in colour-coded tabular format for selected variables with links to scatterplot view.
Dynamic Linked Graphic 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. Keep track of your changes with an automatically updating legend. Save attribute (size, shape, colour) schemes and apply them to new data.
Plot data in a range of standard geochemical plots including XY scatter, probability, ternary , pie charts, histograms and tukey box plots. Display 3 variables in a rotating 3D spin plot or use the stacked line plot utility to compare and show drillhole or time-series data to its best advantage.
Depending on the plot type ioGAS provides standard zooming and panning tools, axis scaling using raw, logged or power transformed values, lock/unlock zoomed axes and data selection tools. Plot features can be modified before copying and pasting into reports and presentations as an image or in vector file format.
Thematic Data Visualisation
Display spatial 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. Attribute data using discrete groups or percentile or custom bin ranges combined with colour and size ramps to accentuate trends in numeric data. Use the 3D Spatial Plot to investigate attributed drillhole data in real XYZ space.
Generate ranked variable maps for a single variable with a selected colour scheme and size ramp applied. Automatically make thematic maps that identify outliers using Tukey algorithm. Use red/green/blue colour addition to determine spatial relationships between three variables simultaneously to seek zonation patterns.
Google Earth and ArcGIS Export
Output attribute maps and ranked variable maps to Google Earth and view the points in spatial context exactly as they are symbolised within . Share results from ioGAS with colleagues by producing a portable Google Earth *.KMZ file.
Export attribute maps as an ESRI geodatabase with associated layer file. Colour/shape/size symbology and visibility settings retained when viewed within ArcGIS.
GOCAD® is a registered trademark of ParadigmTM
GOCAD is designed to build and query integrated exploration models for drillhole targeting. From data import to exploration drillhole design, geoscientists from all disciplines can manage their exploration program from one central software application.
GOCAD users can utilise the GOCAD-ioGAS live link add-on to work with their data in real time in both programs. Apply attributes and make selections and see the changes refreshed in the special live layer in GOCAD.
The GOCAD-ioGAS live link is sold as a separate add-on to the existing GOCAD and ioGAS software.
Use a gridding and imaging algorithm optimised to produce the best possible representation of your geochemical 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 variables simultaneously and export as Geotiff image or ER Mapper grid for direct import into other software such as MapInfo and ArcGIS.
Combined RGB imaging using three variables is also available with ranked, linear and percentile cut-off colouring operations.
Multivariate Outlier Detection (including Robust)
Provides standard versions of Principal Components Analysis (PCA). Save PCA score calculation parameters so that PCA results can be applied to other datasets. Use Mahalanobis Distance calculations with multivariate data to determine how atypical a sample is taking into account correlations between variables. Also supports “robust” versions of these statistical measures which minimise the impact of outliers, thereby enhancing the method’s ability to detect anomalies. The calculated data may be used to create plots, maps and images.
Determine linear equation(s) that model the relationship between a response variable and one or more explanatory variables variables. The tool allows both simple and multiple linear regressions to be determined and also provides an option to perform a least median squares (LMS) robust analysis that determines regression equations while down-weighting outlying data points. Ability to perform Log/Power (Box Cox) transformation and regression by colour group.
Create Predicted and Residual columns along with regression line diagrams and probability plots. Automated outlier analysis and thematic map creation.
Level data by text attributes (eg. 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/power transformation versions where appropriate.
Contains a suite of in-built diagrams for rocktype and other types of data classification including regolith, alteration and diamond indicator minerals. Apply classification polygons as size, shape and/or colour attributes. Write classifications to data file for export. Diagrams automatically cater for element/unit/oxide conversions and mathematical expressions.
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. In-built diagrams are automatically updated as new versions become available. Comments and references for all provided diagrams are available as tooltips and diagram sensitive pop-ups.
Use the in-built calculation library to select from a range of commonly used alteration, exploration and molar calculations. Create and save
multivariate or univariate calculations that can be accessed or shared with other users. Element/Oxide/Unit and molar conversions automatically calculated. Write calculated column data to file for export. Apply quick transformation calculations or molar conversions to variable columns.
Spider and Parallel Coordinate Plots
Parallel coordinate plots and Spider plots allow visualisation of multi-element signatures for a dataset or group. In the case of Spider Plots these signatures are displayed against baseline values for selected geological environments to aid in the delineation anomalies. The plots respond to visibility, with colour, shape and size attributes represented at all point locations. Select samples, turn individual sample traces on and off, cycle between individual modes and display statistical summary traces by colour group.
Display individual or groups of minerals and rocks on your diagrams. Mineral and rock nodes are automatically projected regardless of oxide/element/unit of geochemical variables displayed. Select all minerals or rocks in a group or specific minerals or rocks within groups and maintain the selection between work sessions.
Point Density Grids
Coloured point density grids can be displayed on scatter plots, Scatter Plot Matrix (SPLOM), Ternary plots and diagrams to visually determine where most of the data in the plot is concentrated. Control point density parameters including grid cell size, smoothing, threshold level, colour scheme and opacity. Extract contoured point density for use in classification diagrams.
Download a free trial copy of ioGAS and see for yourself why ioGAS is the optimal exploratory and geochemical data analysis software