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Simonoff Statistical Quake Benchmark Data
Data Science and Analytics
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About
Records of global seismic events compiled for use in advanced statistical modelling. This resource originates from the seminal 1996 publication, Smoothing Methods in Statistics by J.S. Simonoff, providing essential data for researchers focused on applying and benchmarking statistical methods, particularly those related to geospatial analysis and smoothing techniques.
Columns
- focal_depth: Represents the focal depth of the earthquake event. Measurements range from 0.00 to 656.00, with a mean depth of 74.4.
- latitude: The geographical latitude of the event. Values span from a minimum of -66.5 to a maximum of 78.2.
- longitude: The geographical longitude of the event. Values cover the full global range, from -180 to 180.
- richter: The magnitude of the quake recorded on the Richter scale. These values vary between 5.8 and 6.9, with the largest volume of records (1,209) falling within the 5.80 to 5.91 range.
Distribution
The data is supplied as a CSV file (
dataset_2195_quake.csv) with a total file size of 44.19 kB. The structure consists of 4 distinct columns and includes 2,178 valid records. All entries are valid, guaranteeing high data quality with 100% valid values and 0% mismatched or missing entries across all parameters.Usage
This resource is designed for:
- Applying and testing statistical smoothing methods.
- Developing geographical models of seismic activity distribution.
- Supporting educational exercises in geophysics and applied statistics.
- Serving as an equivalent benchmark dataset for statistical model validation.
Coverage
The data provides worldwide geographical coverage, reflecting earthquake events across all global latitudes and longitudes. The focus is entirely on the geophysical characteristics of the events, specifically the magnitude (Richter scale 5.8–6.9) and focal depth (up to 656 units). The expected update frequency for this specific resource is "Never."
License
CC0: Public Domain
Who Can Use It
- Academics and Students: Utilising the dataset for lessons on statistical methods or data analysis in geophysics.
- Seismologists: Studying the distribution and correlation of quake depths and magnitudes globally.
- Data Scientists: Employing the data as a trusted source for benchmarking machine learning algorithms, particularly regression models.
Dataset Name Suggestions
- Quakes Data for Statistical Modelling
- Global Earthquake Focal Depth and Magnitude Records
- Simonoff Statistical Quake Benchmark Data
- Seismic Event Records
Attributes
Original Data Source: Simonoff Statistical Quake Benchmark Data
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