You can display drillholes as lines or cylinders. You can also display the data associated with each segment. Here, the drillholes are displayed as flat lines: There are several different visualisation options. Histogram shows a probability density function for the values, and Cumulative Histogram shows a cumulative distribution function for the values as a line graph: The Point radius control then determines the maximum point size displayed in the scene. Viewing Points Table Statistics Create grids of points that can be evaluated against geological and numeric models and exported for use in other modelling

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. 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. Use the Shift or Ctrl keys to select multiple lithologies. This is useful for changing multiple colour chips to a single colour or for moving multiple lithologies up and down in the list. For data imported in CSV, ASCII, TXT, DAT and TSV formats, separate files are required for each type of table. For data imported in AGS format, a single file is imported that contains each type of table and a summary of the relevant data is presented at each stage of the importation process so you can select from the available groups of data. The Collar TableSelect Cumulative Histogram and enable Histogram of the log to see a cumulative distribution function for the values with a log scale X-axis. If a borehole ID in an interval table does not correspond to one in the collar table, the table can still be imported but the interval table will contain errors. Once you have gathered all available data, ensure that it is of the highest quality and can be reliably used to inform the model. Points to consider, but not be limited to, are: 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: You can set the elevation for points tables by projecting them onto a surface. This overwrites elevation values in the z column of the points table, using the data from the selected surface. If the surface does not intersect vertically with all points, you can choose how the z values for those unprojected points will be handled.

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.

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In this example, we have the initial table of statistics for a merged table that has two category columns and four numeric columns, plus an Interval Length column. However, nothing is displayed in the table because data columns have not yet been selected. Select from the Numeric items available for the table. In this case, all columns have been selected, including the Interval Length column: For each type of table, a summary of the relevant data in the file is presented, allowing you to select groups of data. The Collar Table Leapfrog Works expects a 0 for a normal hole and a 1 for a trench. If there is no trench column in the collar table, Leapfrog Works will create one. The statistics options available in Leapfrog Geo depend on the type of object. Common statistics visualisations are described below:

Scatter plots are useful for understanding relationships between two variables. An additional variable can be introduced by setting the Colouring option to a data column. The example below plots the two variables lead and zinc against each other, with gold being indicated by the colouring. You can make either axis a log scale with the Log scale in X and Log scale in Y options. A Query filter may be applied also.

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Before you start, gather all available data that will inform the model. Think about the information that can be used to support your model, including drilling data, GIS data, photos, cross sections and field mapping data. Don’t limit yourself by considering only data that is already in digital format. Historic drilling data logs in paper or PDFformat can be transcribed into text-based tables for input into Leapfrog Geo, while scanned maps, aerial imagery and geological cross sections can be georeferenced directly in Leapfrog Geo. Data Quality Once points data has been imported to the project, it can be modified and evaluated against geological models, numeric models and estimators, as described in Points Data. For each of these options, once the data source is selected, the process of importing borehole data is the same. See Importing Data Tables and Mapping Data Columns for an overview of how to map data columns in files to the format Leapfrog Works expects. The Box Plot options control the appearance of the box plot drawn under the primary chart. The whiskers extend out to lines that mark the extents you select, which can be the Minimum/maximum, the Inner fence or the Outer fence. Inner and outer values are defined as being 1.5 times the interquartile range and 3 times the interquartile range respectively.

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 Show trace lines button ( ) in the shape list displays all trace lines, even if there is no data defined for some intervals. The Filter trace lines option in the shape properties panel displays only trace lines for drillholes selected by a query filter. See the Query Filters topic for more information. Displaying Drillholes as Lines or Cylinders You can plan drillholes, view prognoses for models in the project and export planned drillholes in .csv format. Leapfrog Geo can also import planned drillholes. Import the other groups as additional interval tables (see Importing Interval Tables). Select Import From File and then select whether you wish to import intervals or points, then select the AGS file again.Category columns, which is text representing categories such as company, geologist, or mineralisation. 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 box plot (or box-and-whisker plot) provides a visualisation of the key statistics for a data set in one diagram. The rest of this topic describes the different statistics visualisations available in Leapfrog Geo. Statistics