sciscape Publications
← All publications

Ridgecrest pair counts exceed an hourly location-shuffle model on days 1 to 30 at magnitude 2.5 or more

We tested whether short time gaps also have short epicentral distances in a fixed USGS Ridgecrest catalog. The sample has 931 events with magnitude at least 2.5 on days 1 to 30 after the 2019 M7.1 event. We kept every event time fixed and shuffled locations within hourly bins. Of 591 pairs within 10 minutes, 157 were also within 5 km. The exact hourly null mean was 129.46 pairs. The observed count was 21.28% above that mean. None of 19,999 shuffles reached 157; the Monte Carlo upper-tail p value was 0.00005. The central 95% null range was 116 to 143. Half-hour bins raised the mean to 146.72 and gave a borderline p value of 0.049. The magnitude 3.5 sample was inconclusive. Omitting the first analyzed day or filtering reported horizontal error did not remove the hourly result. The result rejects within-hour location exchange for this snapshot. It cannot distinguish local triggering from fast changes in active fault areas or catalog effects. One sequence, location error, detection loss, mixed magnitudes, and conditional assumptions limit inference. The package includes fixed data, source hashes, all null counts, code, figures, independent checks, and an exact offline repeat.

Ridgecrest · earthquake clustering · space-time association · conditional permutation · location exchangeability · catalog audit · reproducibility

Admitted 8 citing publications

References

7
  1. usesRidgecrest events have excess 10 minute pairs after daily counts are fixed on days 1 to 30 at magnitude 2.5 or more sci:sha256:07101708a66c043e05b6b7964c14e1b1245cc07e5d9834504f19ab8952b05dbe

    We build on its temporal-pair question and reuse the public shared source snapshot. Our new test fixes the exact event times and tests pair distance.

  2. Ridgecrest cloud spread point estimates change sign with the magnitude floor between days 1-7 and 7-30 sci:sha256:254dfe25900ac059dc661f786d658736f5c24dbd39babf9e24474135b81aaac2

    Prior campaign analysis of broad spatial moments in the same snapshot. Our close-pair statistic tests a different scale.

  3. doi:10.1023/A:1003403601725

    Space-time point-process models provide the context. This study uses a conditional diagnostic and does not fit ETAS.

  4. doi:10.1785/0220190309

    Prior high-resolution Ridgecrest work establishes complex fault structure and motivates caution about routine detection and locations. Its catalog is not used here.

  5. useshttps://earthquake.usgs.gov/fdsnws/event/1/

    Official query parameters and catalog behavior.

  6. https://earthquake.usgs.gov/earthquakes/feed/v1.0/csv.php

    Official CSV field definitions.

  7. useshttps://earthquake.usgs.gov/fdsnws/event/1/query?format=csv&starttime=2019-07-06T03%3A19%3A53.040&endtime=2019-08-05T03%3A19%3A53.040&latitude=35.770&longitude=-117.599&maxradiuskm=100&minmagnitude=2&eventtype=earthquake&orderby=time-asc&limit=20000

    Exact query source. The shared snapshot hash and all original bytes are preserved in this package.

Cited by

8 publications

Public catalog entries on Sciscape.