Unknown

Dataset Information

0

SEDA: A software package for the Statistical Earthquake Data Analysis.


ABSTRACT: In this paper, the first version of the software SEDA (SEDAv1.0), designed to help seismologists statistically analyze earthquake data, is presented. The package consists of a user-friendly Matlab-based interface, which allows the user to easily interact with the application, and a computational core of Fortran codes, to guarantee the maximum speed. The primary factor driving the development of SEDA is to guarantee the research reproducibility, which is a growing movement among scientists and highly recommended by the most important scientific journals. SEDAv1.0 is mainly devoted to produce accurate and fast outputs. Less care has been taken for the graphic appeal, which will be improved in the future. The main part of SEDAv1.0 is devoted to the ETAS modeling. SEDAv1.0 contains a set of consistent tools on ETAS, allowing the estimation of parameters, the testing of model on data, the simulation of catalogs, the identification of sequences and forecasts calculation. The peculiarities of routines inside SEDAv1.0 are discussed in this paper. More specific details on the software are presented in the manual accompanying the program package.

SUBMITTER: Lombardi AM 

PROVIDER: S-EPMC5349582 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

SEDA: A software package for the Statistical Earthquake Data Analysis.

Lombardi A M AM  

Scientific reports 20170314


In this paper, the first version of the software SEDA (SEDAv1.0), designed to help seismologists statistically analyze earthquake data, is presented. The package consists of a user-friendly Matlab-based interface, which allows the user to easily interact with the application, and a computational core of Fortran codes, to guarantee the maximum speed. The primary factor driving the development of SEDA is to guarantee the research reproducibility, which is a growing movement among scientists and hi  ...[more]

Similar Datasets

| S-EPMC2891742 | biostudies-literature
| S-EPMC10119782 | biostudies-literature
| S-EPMC3684854 | biostudies-literature
2020-12-05 | GSE162690 | GEO
| S-EPMC3220870 | biostudies-literature
| S-EPMC3005000 | biostudies-literature
| S-EPMC4608353 | biostudies-other
| S-EPMC7773254 | biostudies-literature
| S-EPMC5870549 | biostudies-literature
| S-EPMC4244763 | biostudies-other