When the Make lines solid button ( ) is enabled, the drillhole data is displayed as cylinders and the property that can be controlled is the Line radius: able to spot a pattern (it's not simple) which will help you fill in the other rows. Number of frogs Depth markers can be displayed with or without text. Enable the Show text option ( ( )) to display the depth values. This option also displays the hole ID, which can be displayed at the start or the end of the drillhole. Displaying Drillhole Graphs Append the dataset, as described in Adding New Rows to Existing Data Tables in the Working With Data Tables topic. Group by category and Group by numeric item provide further options for the table organisation. Here the Group by numeric item option has been selected:

Select a Numeric column to display, enabling Log scale if it helps to visualise the data more clearly. If the table includes category data, set the Category column to one of the category columns to help visualise the data. Select which categories to include from the Categories list. When using the spheres option ( ), the points can be displayed using the values. To do this, the Radius values list displays the columns available: Once the data source is selected, the import process is similar to that described above. Reloading Points Data Downhole numeric data can be displayed in the scene as a bar graph and downhole points data can be displayed as a line graph. To display downhole data in this way, add the Drillhole Graphs object ( ) to the scene. The Drillhole Graph Style Manager will be displayed, showing the data columns available: With the drillhole correlation tool, you can view and compare selected drillholes in a 2D view. You can then create interpretation tables in which you can assign and adjust intervals and create new intervals. Interpretation tables are like any other interval table in a project and can be used to create models.Even though Leapfrog Geo can detect errors in your data, we recommend you fix errors outside of Leapfrog Geo for data integrity reasons. In cases where changes to an original data set were made within Leapfrog Geo, it is important to keep your master database up to date with any changes and use ‘export changed fields’ to extract data from Leapfrog Geo, so it can be later uploaded into your database. The process is similar to importing the original table; select the file and map the columns you wish to import. Importing ASEG_DFN Points The whiskers extend out to lines that mark the extents you select, which can be the Min/Max whiskers, the Outer fence whiskers or the Inner fence whiskers. Outer and inner values are defined as being three times the interquartile range and 1.5 times the interquartile range respectively. All remaining groups that contain suitable interval data are displayed, although you can display all groups in the file by disabling the Only show groups suitable for interval data option.

Create grids of points that can be evaluated against geological and numeric models and exported for use in other modelling Consistency. Leapfrog Geo requires that all input data is consistent in the coordinate system and units used. Don’t mix metric and imperial systems and metres and millimetres, and ensure all data uses the same XYZ-based coordinate system. Once you have set up a table of statistics on a particular table, its settings will be saved so you can easily review the statistics and export the table using the same settings. As with drillholes, points data can be displayed as flat points or as spheres. When Make points solid button ( ) is enabled for points data, the data points are displayed as spheres. Here, the values are displayed as flat points: Data can be displayed to the right or the left of the drillhole trace. Use the sliders to change the Scale and the Offset from the trace.Reloading points data overwrites all data in the existing table. If you have data you wish to add to the project without overwriting existing data, use the Append Data option. Stereonets are useful for visualising structural data and identifying trends in 2D. Errors in categorisation of structural data can also become apparent when the data is viewed on a stereonet. Select Histogram and enable Histogram of the log to see the value distribution with a log scale X-axis. When an interval table has more than one column of data, select the column to view from the view list: Import the features as separate objects. Each feature will appear in the project tree as a separate object.

Points data can be displayed using a single flat colour, using a colour gradient (see Visualising Data) or using the points values. You can also import a colourmap, which is described in Visualising Data. The rest of this topic discusses options for displaying drillholes and viewing statistics on drillhole data tables. It is divided into: When viewing multiple interval tables, use the line and point size controls and the transparency settings to see all the data at once. For example, here, the geology table has been made transparent to show the contaminant intervals inside:If maximum depth information is not included in a collar file, Leapfrog Works will determine it from the maximum depth sampled as indicated by data in the interval tables. The bottom left corner of the chart displays a table with a comprehensive set of statistical measures for the data set. The Interval Length Statistics graph is a univariate graph, so for more information on the options available, see Univariate Graphs in the Analysing Data topic. Boreholes in AGS format may also include a Project ID column that can be used to identify boreholes that have the same hole ID but are actually from different projects. The Survey Table