Quantifying the Effect of Geological Factors on Distribution of Earthquake Occurrences by Inhomogeneous Cox Processes

Author:

Choiruddin AchmadORCID,Aisah ,Trisnisa Finola,Iriawan Nur

Funder

Institut Teknologi Sepuluh Nopember

Publisher

Springer Science and Business Media LLC

Subject

Geochemistry and Petrology,Geophysics

Reference34 articles.

1. Aisah., Iriawan, N., & Choiruddin, A. (2020). On the earthquake modeling by using Bayesian mixture Poisson process. International Journal of Advanced Science and Technology, 29(7s), 3350–3358.

2. Anwar, S., Stein, A., & van Genderen, J. L. (2012). Implementation of the marked Strauss point process model to the epicenters of earthquake aftershocks. Advances in geo-spatial information science. (pp. 125–140). Taylor & Francis.

3. Baddeley, A., Rubak, E., & Turner, R. (2015). Spatial point patterns: Methodology and applications with R. CRC Press.

4. Baddeley, Y., Chang, A., Song, Y., & Turner, R. (2012). Nonparametric estimation of the dependence of a spatial point process on spatial covariates. Statistics and Its Interface, 5(2), 221–236.

5. Båth, M., & Duda, S. J. (1979). Some aspects of global seismicity. Tectonophysics, 54(1–2), T1–T8.

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