GraphMap

Introduction to Graphical Analysis Using Datamine Discover

Put your geochemistry data to work using simple empirical procedures. This one-day course includes a series of hands-on, case-study based exercises designed to introduce geologists to Discover’s GraphMap module and the basics of graphical analysis. GraphMap is included with all Discover licenses. Practical examples involve surface geochemistry, drillhole geochemistry, and drillhole survey data. The course may prove particularly useful to geologists wishing to use down-hole geochemistry data for geological modeling, as an aid to re-logging core and for the re-coding of lithologies in existing drillhole databases.

Graphs provide visual summaries of quantitative data that may very quickly reveal information such as trends and relationships that are not apparent when viewing tables of numbers, maps, or drillhole displays relying on subjective data such as rock codes. Rather than relying on the interpretation of the numerical results of statistical calculations, graphical analysis relies on spatial pattern recognition and the linking of graph selections, colours, and symbols with 2D and 3D spatial plots. Combined with the 2D and 3D data display capabilities of Discover and Discover3D, GraphMap can be an extremely powerful tool for the development and testing of hypotheses involving geochemistry data.

The course does not teach geochemistry or statistics. Though geochemistry and statistical concepts are discussed throughout the course, attendees require a working knowledge of geochemistry and a working knowledge of simple statistical concepts such as mean, median, standard deviation, percentiles, population, and dispersion. A good working knowledge of Windows and Datamine Discover is mandatory.

Each attendee requires their own laptop computer and a copy of Datamine-Discover 2017. Free evaluation licenses can be provided to those without the required software. Evaluation licenses must be requested in advance and installed before the course date.

View Sample Course Notes

Recommended Prerequisites:

Mapinfo with Datamine Discover – Mineral Exploration Module 1

Mapinfo with Datamine Discover – Mineral Exploration Module 2

Graph Maps

Course Outline

  • Preparing data for graphical analysis – grouping or separating data based on analytical method, background geology etc.
  • Attributing surface samples according to underlying geology
  • Merging drill-hole geochemistry data with logged codes
  • Data preconditioning – avoid skewing graphs and statistics
  • Create scatter plots, scatter matrices, probability plots, and histograms
  • Create separate graphs according to underlying geology, downhole rock codes, etc.
  • Create a new database column based on a custom formula (multi-element ratios, normalized values, etc.)
  • Apply colour, size, symbol, and selective sample-visibility settings to graphs
  • View graph selections and symbols on a 3D sample location plot of drillhole data
  • Use graph selections to update source data tables in MapInfo
  • Use graphs, queries and drill-core observations for developing, and testing hypotheses
  • Save and open GraphMap workspace files
  • Create a new graph based on a query or previous graph selection
  • View selection statistics
  • Create a graph legend
  • Exporting modified tables
  • Output for presentations, map display, section, and model updates
  • Subjective methods of categorizing geochemical samples based on graph selections
  • Case-Study Exercise – Delineating Stratigraphy with Drillhole Geochemistry Data – A Faster Alternative to Re-logging Core
  • Case-Study Exercise – Using a Digital Elevation Model to Identify Elevation Issues in Drillhole Data

Upcoming Dates:

August 28, 2020 – Vancouver

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