Most often data analyst consider correlation between two time-series as a cau...
Numerical tests to understand the degrees of freedom in time series
Seismic resolution and fidelity are the two important measures of the quality of the seismic record and the seismic images. Seismic resolution quantifies the...
Simple earthquake location problem and its solution using Geiger’s method
Factor Analysis is an exploratory data analysis method used to search influential underlying factors or latent variables from a set of observed variables
This post is aimed to resolve the issues regarding the conflicts of using obspy and basemap libraries together.
Time-series analysis is essential in most fields of science, including geophysics, economics, etc. Most of the geophysical data comes in a time-series format...
The Generic Mapping Tools is widely used across Earth and Planetary and other fields of studies to process data and generate high-quality illustrations. This...
Obspy is an open-source Python framework developed for the processing of seismological data. In this post, I will introduce how to use Obspy along with some ...
We demonstrate how to model a simple wave, obtain its frequencies, apply Hilbert transform, and perform edge detection
NetCDF file format has been designed for storing multidimensional scientific data such as temperature, rainfall, humidity, etc. In this post, we will see how...
In this post, we will see how we can use Python to low-pass filter the 10 year long daily fluctuations of GPS time series. We need to use the “Scipy” package...
It is essential to insert equation numbers in your thesis and/or any scientific paper. In this post, I will show you some of the easiest ways to insert equat...
In Earth Sciences, we often deal with multidimensional data structures such as climate data, GPS data. It ‘s hard to save such data in text files as it would...
Most often data analyst consider correlation between two time-series as a causation effect. Two time-series are correlated that does not imply that one cause...
Numerical tests to understand the degrees of freedom in time series
Seismic resolution and fidelity are the two important measures of the quality of the seismic record and the seismic images. Seismic resolution quantifies the...
Simple earthquake location problem and its solution using Geiger’s method
Factor Analysis is an exploratory data analysis method used to search influential underlying factors or latent variables from a set of observed variables
This post is aimed to resolve the issues regarding the conflicts of using obspy and basemap libraries together.
Time-series analysis is essential in most fields of science, including geophysics, economics, etc. Most of the geophysical data comes in a time-series format...
The Generic Mapping Tools is widely used across Earth and Planetary and other fields of studies to process data and generate high-quality illustrations. This...
Obspy is an open-source Python framework developed for the processing of seismological data. In this post, I will introduce how to use Obspy along with some ...
We demonstrate how to model a simple wave, obtain its frequencies, apply Hilbert transform, and perform edge detection
NetCDF file format has been designed for storing multidimensional scientific data such as temperature, rainfall, humidity, etc. In this post, we will see how...
In this post, we will see how we can use Python to low-pass filter the 10 year long daily fluctuations of GPS time series. We need to use the “Scipy” package...
It is essential to insert equation numbers in your thesis and/or any scientific paper. In this post, I will show you some of the easiest ways to insert equat...
In Earth Sciences, we often deal with multidimensional data structures such as climate data, GPS data. It ‘s hard to save such data in text files as it would...
