Tutorvo

Gutenberg–Richter: Fitting log N = a − bM with SLOPE

Lesson 5 of 816 minLab

This lesson is part of the course

In this lesson

You take the log of a 20-year catalogue's cumulative counts, fit the a- and b-values with INTERCEPT and SLOPE, chart the relation with a trendline and extrapolate to M 6.

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Lessons in this course

  1. Moment Magnitude: From Fault Size and Slip to MwLab14 min Locked
  2. Magnitude & Energy: Why +1 Means 32 Times MoreLab13 min Locked
  3. P and S Waves: Travel Times & Distance from the S−P IntervalLab15 min Locked
  4. Locating the Epicentre: Three Stations & a Grid SearchLab18 min Locked
  5. Gutenberg–Richter: Fitting log N = a − bM with SLOPELab16 min Locked
  6. Recurrence Intervals & the Chance of at Least One EventLab15 min Locked
  7. Aftershock Decay: Omori's LawLab15 min Locked
  8. Shaking Intensity vs Distance (Illustrative Attenuation)Lab15 min Locked