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Dips is designed for the interactive analysis of orientation based geological data. The program is capable of many applications and is designed for both the novice user and for the accomplished user of stereographic projection who wishes to utilize more advanced tools in the analysis of geological data. Dips allows the user to analyze and visualize structural data following the same techniques used in manual stereonets. In addition, it has many computational features, such as statistical contouring of orientation clustering, mean orientation and confidence calculation, cluster variability, kinematic analysis, and qualitative and quantitative feature attribute analysis. Dips is designed for the analysis of features related to the engineering analysis of rock structures, however, the free format of the Dips data file permits the analysis of any orientation-based data.

What’s New in Dips v7.0 Dips v7.0 introduces a variety of new features to significantly enhance the functionality of the software: • Introducing the 3D Stereosphere, allowing you to plot poles, planes and contours on a 3D hemisphere view, which is the basis for generating a 2D stereonet. • New Curved Borehole Analysis eliminates the need for you to manually subdivide curved boreholes into linear segments. • Dips v7.0 allows you to calculate true Joint Spacing of joints in a joint set, calculated from distance measurements recorded along a linear or borehole traverse • The Kinematic Analysis option in Dips now offers an additional feature: Kinematic Sensitivity Analysis of slope parameters.

• Contour Arbitrary Data on Stereonet: In addition to contouring pole densities, Dips v7.0 allows you to contour the magnitude of other quantitative directional variables on the stereonet (e.g. Principal stress data) • A new addition to the stereonet toolkit is the Intersection Calculator. You can now easily find the exact intersection of two planes, or the plane that passes through two points. Stereonet Plots The main forms of data visualization in Dips are the various Plot options available in the View menu and View toolbar: Pole Plots A Pole Plot is the most basic representation of the orientation data.

On a pole plot, points are plotted on a stereonet that correspond to the orientation of either (1) linear features or (2) poles representing planes. Scatter Plots A Scatter Plot permits visual analysis of pole distribution by plotting symbols representing the number of approximately coincident poles at a given orientation. Symbols on this plot correspond to actual grid locations, and the quantities represented are the numbers of poles within a half grid spacing of the grid point. Contour Plots A Contour Plot is the main tool in Dips for analyzing mean and/or maximum pole concentrations. It is used to visualize the clustering of orientation data not immediately evident from a Pole Plot or a Scatter Plot. The contours represent statistical pole concentrations, calculated using the distribution method (Fisher or Schmidt) specified in the Stereonet Options dialog.

A Terzaghi Weighting can be applied to a Contour Plot to correct sampling bias from data collection and to generate a weighted contour plot if the Dips file contains Traverse information. Major Planes Plot The Major Planes Plot option in Dips allows the user to view planes only on a clean stereonet, without poles or contours. In addition, a listing of plane orientations is displayed in the legend, in the format governed by the current Convention. Overlay Contours A Contour Plot can be overlaid on Pole, Scatter, or Major Planes plots, with the Overlay Contours option. Statistical Analysis Statistical Contouring A Contour Plot is the main tool in Dips for analyzing mean and/or maximum pole concentrations. It is used to visualize the clustering of orientation data not immediately evident from a Pole Plot or a Scatter Plot.