Concatenating daily seismic traces into one miniseed file
I concatenate the daily seismic traces for 15 days into one miniseed file for further analysis. Then I obtained the spectrogram of the 15 days seismic data. ...
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Posts with Each Tags
python
Computing cross-correlation and spectrogram of two seismic traces
Read the seismic traces from the miniseed files and compute the cross-correlation and spectrogram
Principal component analysis to decompose signals and reduce dimensionality
We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals
Signal denoising using fourier analysis in python
We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals
How to analyze a huge data file with pandas
We learn how to read huge csv file containing time series data by breaking it into chunks and then visualizing it with matplotlib
Pyqt5 application for visualizing ambient sound in real-time
A PyQt5 application for retrieving and visualizing sound waveforms in real time. Codes included.
How to start using pandas immediately for earth data analysis
This tutorial gives a brief description of scientific computing using Pandas by introducing Series, DataFrame, Pandas common operations, methods, conditional...
Introduction to numpy for scientific computing
This tutorial gives a brief description of scientific computing using numpy by introducing arrays, methods, attributes, random numbers, indexing, broadcastin...
Three-dimensional perspective map of taiwan using gmt and pygmt
We learn how to make the three-dimensional map using both GMT and PyGMT
The right way to loop in python
What is the fastest and most efficient way to loop in Python. We found that the numpy is fastest and python builtins are the most memory efficient.
Easily integrate custom functions in matlab with python
How can we use the MATLAB functions in Python? MATLAB implementation are usually reliable as it is developed by the professionals. But the advantages of usin...
The easy way to compute and visualize the time & frequency domain correlation
In geophysics, it is important to understand and identify the complex and unknown relationships between two time-series. Cross-correlation is an established ...
Monte carlo methods and earthquake location problem
The common geophysical problems most often have multimodal objective function with many possible minima. In this post, we will look into the Monte Carlo meth...
A simple system monitor app in python
A simple Python app for system CPU and RAM usage monitoring in real time. The app is build mainly using the PyQt5, pyqtgraph and psutil.
Build a flask web application: sea level rise monitoring
This post gives a quick introduction on how to build a web application using Flask and deploy on Heroku server. Then, I share my codes for building advanced ...
Least-squares method in geosciences
Least-squares method is a popular approach in geophysical inversion to estimate the parameters of a postulated Earth model from given observations. This meth...
Speed-up your codes by parallel computing in python
Parallel computing is quickly becoming a necessity. Modern computers comes with more than one process and we most often only use single process to do most of...
Advanced 2d plots with matplotlib in python
Codes for plotting advanced 2D plots using matplotlib library in Python. Includes simple 2D plot, error bars, bar graphs, histograms, multiple plots, etc
Hypothesis test for the significance of linear trend using the monte carlo simulations
We pose a null hypothesis and enquire that given that the null hypothesis is true, how likely is the observed pattern of results? This likelihood is known as...
How to avoid common mistakes in analyzing correlations of two time-series
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...
Estimation of the degrees of freedom for time series
Numerical tests to understand the degrees of freedom in time series
Exploratory factor analysis
Factor Analysis is an exploratory data analysis method used to search influential underlying factors or latent variables from a set of observed variables
Getting started with obspy: downloading waveform data
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 ...
Time series analysis in python: filtering or smoothing data
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...
Topographic map clipped by coastlines in python
This post demonstrate how to use Python to set up clip topographic map based on coastlines.
Topographic map with shading in python
Generating GMT style shaded relief map in Python
Plotting the geospatial data clipped by coastlines in python
In geosciences, we most frequently have to make geospatial plots, but the available data is unevenly distributed and irregular. We like to show the data, in ...
How to plot topographic station map in python
We read the station information from a file to plot the 1 arc-minute relief map
Plotting 1 arc-minute global relief map in python
Plotting 1 arc-minute topographic map in python
Estimation of the degrees of freedom of time series [python]
Two time series with predominant linear trends (very low DOF) can have a very high correlation coefficient, which can hardly be construed as an evidence for ...
Interactive data visualization in python using bokeh
A basic to advanced guide to making interactive plots in Bokeh.
Why we should use generators? [python]
Generators don’t hold the entire result in memory. It yields one result at a time.
Introduction to python for beginners
In this tutorial post, I give a quick demo of how to install Python (using anaconda) and then getting started with writing simple scripts.
geophysics
Plotting a record section using obspy
Quickly plot record section of a stream using Obspy. I will introduce you how to make a stream from a set of SAC data, plot the record section and store it a...
Plotting seismograms with increasing epicentral distance using python
Short demostration of how to plot the distance vs seismic waveforms and mark the P and S arrival times using the IASP91 earth model. Codes are included.
Visualizing power spectral density using obspy [python]
Short demonstration of the ppsd class defined in Obspy using 3 days of data for station PB-B075
Automatically plotting record section for an earthquake in the given time range [python]
Python code to automatically plot the record section for the highest magnitude earthquake in the given time range
Numerical tests on travel time tomography [matlab]
Introduction to the concepts of tomography with equations and codes. Introduction to the concepts of overdetermined, underdetermined and mix-determined probl...
Monte carlo simulation to test for the correlation between two dataset [matlab]
We test for the correlation coefficients or the covariance between two sets of random numbers selected from normal distribution using the Monte Carlo simulat...
Easy statistical analysis using the tools of matlab
Visualize the statistics of the data using MATLAB: mean, median, std, interquartile range, skewness, kurtosis, t-statistic, degrees of freedom
Hypothesis test [matlab]
Using Randomization to test the disprove the null hypothesis
Topographic map with shading in python
Generating GMT style shaded relief map in Python
How to plot topographic station map in python
We read the station information from a file to plot the 1 arc-minute relief map
Non-linear curve fitting to a model with multiple observational variables [matlab]
How to fit data to non-linear model
Estimation of the degrees of freedom of time series [python]
Two time series with predominant linear trends (very low DOF) can have a very high correlation coefficient, which can hardly be construed as an evidence for ...
Gmt advanced tutorial ii
Plotting publishable quality maps using generic mapping tools (GMT)
Gmt advanced tutorial
Plotting publishable quality maps using generic mapping tools (GMT)
Why we should use generators? [python]
Generators don’t hold the entire result in memory. It yields one result at a time.
geospatial data visualization
Three-dimensional perspective map of taiwan using gmt and pygmt
We learn how to make the three-dimensional map using both GMT and PyGMT
High-quality maps using the modern interface to the generic mapping tools
GMT or generic mapping tools have become synonymous with plotting maps in Earth, Ocean, and Planetary sciences. It can be used for processing data, generatin...
Gmt tutorial for beginners
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...
Reading netcdf4 data in python
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...
Pygmt: high-resolution topographic map in python
A simple tutorial on how to plot high resolution topographic map using GMT tools in Python
Plotting track and trajectory of tropical cyclones on a topographic map in python
Short demonstration of how to plot the track or trajectory of a hurricane on a map. Codes are included.
Topographic map clipped by coastlines in python
This post demonstrate how to use Python to set up clip topographic map based on coastlines.
Topographic map with shading in python
Generating GMT style shaded relief map in Python
Plotting the geospatial data clipped by coastlines in python
In geosciences, we most frequently have to make geospatial plots, but the available data is unevenly distributed and irregular. We like to show the data, in ...
How to plot topographic station map in python
We read the station information from a file to plot the 1 arc-minute relief map
Plotting 1 arc-minute global relief map in python
Plotting 1 arc-minute topographic map in python
Gmt advanced tutorial ii
Plotting publishable quality maps using generic mapping tools (GMT)
Interactive data visualization in python using bokeh
A basic to advanced guide to making interactive plots in Bokeh.
Gmt advanced tutorial
Plotting publishable quality maps using generic mapping tools (GMT)
obspy
Concatenating daily seismic traces into one miniseed file
I concatenate the daily seismic traces for 15 days into one miniseed file for further analysis. Then I obtained the spectrogram of the 15 days seismic data. ...
Computing cross-correlation and spectrogram of two seismic traces
Read the seismic traces from the miniseed files and compute the cross-correlation and spectrogram
Computing cross-correlation and spectrogram of two seismic traces
Read the seismic traces from the miniseed files and compute the cross-correlation and spectrogram
Signal denoising using fourier analysis in python
We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals
Analyzing miniseed seismic data in matlab
We will learn how to convert a mseed data file into mat format and then read and analyze it using MATLAB
Plotting a record section using obspy
Quickly plot record section of a stream using Obspy. I will introduce you how to make a stream from a set of SAC data, plot the record section and store it a...
Write ascii data to mseed file using obspy
In this post, I will read a ASCII file whose first few lines contains the header information and then the three-component data. I will read using the pandas ...
Working with obspy and basemap
This post is aimed to resolve the issues regarding the conflicts of using obspy and basemap libraries together.
Getting started with obspy: downloading waveform data
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 ...
Visualizing power spectral density using obspy [python]
Short demonstration of the ppsd class defined in Obspy using 3 days of data for station PB-B075
Automatically plotting record section for an earthquake in the given time range [python]
Python code to automatically plot the record section for the highest magnitude earthquake in the given time range
matlab
Concatenating daily seismic traces into one miniseed file
I concatenate the daily seismic traces for 15 days into one miniseed file for further analysis. Then I obtained the spectrogram of the 15 days seismic data. ...
Analyzing miniseed seismic data in matlab
We will learn how to convert a mseed data file into mat format and then read and analyze it using MATLAB
Transfer learning applied on the unsplash data using alexnet pretrained network
Transfer learning using the pre-trained deep learning networks from MATLAB can be easily implemented to achieve fast and impressive results
Time-frequency analysis in matlab
A signal has one or more frequency components in it and can be viewed from two different standpoints: time-domain and frequency domain. In general, signals a...
Simple wave modeling and hilbert transform in matlab
We demonstrate how to model a simple wave, obtain its frequencies, apply Hilbert transform, and perform edge detection
Monte carlo simulation to test for the correlation between two dataset [matlab]
We test for the correlation coefficients or the covariance between two sets of random numbers selected from normal distribution using the Monte Carlo simulat...
Easy statistical analysis using the tools of matlab
Visualize the statistics of the data using MATLAB: mean, median, std, interquartile range, skewness, kurtosis, t-statistic, degrees of freedom
Hypothesis test [matlab]
Using Randomization to test the disprove the null hypothesis
Non-linear curve fitting to a model with multiple observational variables [matlab]
How to fit data to non-linear model
Non-linear curve fitting to a model with multiple observational variables [matlab]
How to fit data to non-linear model
visualization
Plotting a record section using obspy
Quickly plot record section of a stream using Obspy. I will introduce you how to make a stream from a set of SAC data, plot the record section and store it a...
Time series analysis in geophysics
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...
Gmt tutorial for beginners
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...
Getting started with obspy: downloading waveform data
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 ...
Pygmt: high-resolution topographic map in python
A simple tutorial on how to plot high resolution topographic map using GMT tools in Python
Plotting seismograms with increasing epicentral distance using python
Short demostration of how to plot the distance vs seismic waveforms and mark the P and S arrival times using the IASP91 earth model. Codes are included.
Visualizing power spectral density using obspy [python]
Short demonstration of the ppsd class defined in Obspy using 3 days of data for station PB-B075
Automatically plotting record section for an earthquake in the given time range [python]
Python code to automatically plot the record section for the highest magnitude earthquake in the given time range
Gmt advanced tutorial ii
Plotting publishable quality maps using generic mapping tools (GMT)
statistics
Hypothesis test for the significance of linear trend using the monte carlo simulations
We pose a null hypothesis and enquire that given that the null hypothesis is true, how likely is the observed pattern of results? This likelihood is known as...
How to avoid common mistakes in analyzing correlations of two time-series
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...
Estimation of the degrees of freedom for time series
Numerical tests to understand the degrees of freedom in time series
Numerical tests for seismic resolution
Seismic resolution and fidelity are the two important measures of the quality of the seismic record and the seismic images. Seismic resolution quantifies the...
Monte carlo simulation to test for the correlation between two dataset [matlab]
We test for the correlation coefficients or the covariance between two sets of random numbers selected from normal distribution using the Monte Carlo simulat...
Easy statistical analysis using the tools of matlab
Visualize the statistics of the data using MATLAB: mean, median, std, interquartile range, skewness, kurtosis, t-statistic, degrees of freedom
Hypothesis test [matlab]
Using Randomization to test the disprove the null hypothesis
seismology
Concatenating daily seismic traces into one miniseed file
I concatenate the daily seismic traces for 15 days into one miniseed file for further analysis. Then I obtained the spectrogram of the 15 days seismic data. ...
Analyzing miniseed seismic data in matlab
We will learn how to convert a mseed data file into mat format and then read and analyze it using MATLAB
The easy way to compute and visualize the time & frequency domain correlation
In geophysics, it is important to understand and identify the complex and unknown relationships between two time-series. Cross-correlation is an established ...
Getting started with obspy: downloading waveform data
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 ...
Pygmt: high-resolution topographic map in python
A simple tutorial on how to plot high resolution topographic map using GMT tools in Python
Plotting seismograms with increasing epicentral distance using python
Short demostration of how to plot the distance vs seismic waveforms and mark the P and S arrival times using the IASP91 earth model. Codes are included.
Automatically plotting record section for an earthquake in the given time range [python]
Python code to automatically plot the record section for the highest magnitude earthquake in the given time range
GMT
Three-dimensional perspective map of taiwan using gmt and pygmt
We learn how to make the three-dimensional map using both GMT and PyGMT
High-quality maps using the modern interface to the generic mapping tools
GMT or generic mapping tools have become synonymous with plotting maps in Earth, Ocean, and Planetary sciences. It can be used for processing data, generatin...
Pygmt: high-resolution topographic map in python
A simple tutorial on how to plot high resolution topographic map using GMT tools in Python
Topographic map with shading in python
Generating GMT style shaded relief map in Python
Gmt advanced tutorial ii
Plotting publishable quality maps using generic mapping tools (GMT)
Gmt advanced tutorial
Plotting publishable quality maps using generic mapping tools (GMT)
geospatial data visualization python
Three-dimensional perspective map of taiwan using gmt and pygmt
We learn how to make the three-dimensional map using both GMT and PyGMT
Topographic map clipped by coastlines in python
This post demonstrate how to use Python to set up clip topographic map based on coastlines.
Topographic map with shading in python
Generating GMT style shaded relief map in Python
Plotting the geospatial data clipped by coastlines in python
In geosciences, we most frequently have to make geospatial plots, but the available data is unevenly distributed and irregular. We like to show the data, in ...
How to plot topographic station map in python
We read the station information from a file to plot the 1 arc-minute relief map
Plotting 1 arc-minute global relief map in python
Plotting 1 arc-minute topographic map in python
techniques
Hypothesis test for the significance of linear trend using the monte carlo simulations
We pose a null hypothesis and enquire that given that the null hypothesis is true, how likely is the observed pattern of results? This likelihood is known as...
How to avoid common mistakes in analyzing correlations of two time-series
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...
Estimation of the degrees of freedom for time series
Numerical tests to understand the degrees of freedom in time series
Numerical tests for seismic resolution
Seismic resolution and fidelity are the two important measures of the quality of the seismic record and the seismic images. Seismic resolution quantifies the...
Plotting the geospatial data clipped by coastlines in python
In geosciences, we most frequently have to make geospatial plots, but the available data is unevenly distributed and irregular. We like to show the data, in ...
time-frequency analysis
Computing cross-correlation and spectrogram of two seismic traces
Read the seismic traces from the miniseed files and compute the cross-correlation and spectrogram
Principal component analysis to decompose signals and reduce dimensionality
We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals
Signal denoising using fourier analysis in python
We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals
Analyzing miniseed seismic data in matlab
We will learn how to convert a mseed data file into mat format and then read and analyze it using MATLAB
The easy way to compute and visualize the time & frequency domain correlation
In geophysics, it is important to understand and identify the complex and unknown relationships between two time-series. Cross-correlation is an established ...
apple
Some handy mac tweaks [macos]
Some handy tweaks for mac like relocating default screenshot location, renaming batch files etc
Introduction to automating mac [macos]
Mac can be easily automated by the help of several tools such as automator, quick actions, applescripts
Iphone shortcut to quickly log body temperature [ios]
Shortcut code for quickly logging temperature in Apple health app
Mac quick action to rate the songs in apple music app [macos]
Quick action for mac to easily love, dislike, rate songs in apple music app
time-series
Time-frequency analysis in matlab
A signal has one or more frequency components in it and can be viewed from two different standpoints: time-domain and frequency domain. In general, signals a...
Hypothesis test for the significance of linear trend using the monte carlo simulations
We pose a null hypothesis and enquire that given that the null hypothesis is true, how likely is the observed pattern of results? This likelihood is known as...
How to avoid common mistakes in analyzing correlations of two time-series
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...
Simple wave modeling and hilbert transform in matlab
We demonstrate how to model a simple wave, obtain its frequencies, apply Hilbert transform, and perform edge detection
gmt mapping
Gmt tutorial for beginners
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...
Gmt advanced tutorial ii
Plotting publishable quality maps using generic mapping tools (GMT)
Gmt advanced tutorial
Plotting publishable quality maps using generic mapping tools (GMT)
time series
Estimation of the degrees of freedom for time series
Numerical tests to understand the degrees of freedom in time series
Time series analysis in geophysics
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...
Estimation of the degrees of freedom of time series [python]
Two time series with predominant linear trends (very low DOF) can have a very high correlation coefficient, which can hardly be construed as an evidence for ...
topography
Pygmt: high-resolution topographic map in python
A simple tutorial on how to plot high resolution topographic map using GMT tools in Python
Plotting track and trajectory of tropical cyclones on a topographic map in python
Short demonstration of how to plot the track or trajectory of a hurricane on a map. Codes are included.
Plotting 1 arc-minute global relief map in python
Plotting 1 arc-minute topographic map in python
mac
Some handy mac tweaks [macos]
Some handy tweaks for mac like relocating default screenshot location, renaming batch files etc
Introduction to automating mac [macos]
Mac can be easily automated by the help of several tools such as automator, quick actions, applescripts
Mac quick action to rate the songs in apple music app [macos]
Quick action for mac to easily love, dislike, rate songs in apple music app
matplotlib
Computing cross-correlation and spectrogram of two seismic traces
Read the seismic traces from the miniseed files and compute the cross-correlation and spectrogram
Advanced 2d plots with matplotlib in python
Codes for plotting advanced 2D plots using matplotlib library in Python. Includes simple 2D plot, error bars, bar graphs, histograms, multiple plots, etc
Plotting track and trajectory of tropical cyclones on a topographic map in python
Short demonstration of how to plot the track or trajectory of a hurricane on a map. Codes are included.
MATLAB
Easily integrate custom functions in matlab with python
How can we use the MATLAB functions in Python? MATLAB implementation are usually reliable as it is developed by the professionals. But the advantages of usin...
Numerical tests for seismic resolution
Seismic resolution and fidelity are the two important measures of the quality of the seismic record and the seismic images. Seismic resolution quantifies the...
Locating earthquakes using geiger’s method
Simple earthquake location problem and its solution using Geiger’s method
earthquake location problem
Genetic algorithm: a highly robust inversion scheme for geophysical applications
An introduction to the basics of genetic algorithm along with a simple numerical example and solution of an earthquake location problem
Monte carlo methods and earthquake location problem
The common geophysical problems most often have multimodal objective function with many possible minima. In this post, we will look into the Monte Carlo meth...
Least-squares method in geosciences
Least-squares method is a popular approach in geophysical inversion to estimate the parameters of a postulated Earth model from given observations. This meth...
mseed
Concatenating daily seismic traces into one miniseed file
I concatenate the daily seismic traces for 15 days into one miniseed file for further analysis. Then I obtained the spectrogram of the 15 days seismic data. ...
Analyzing miniseed seismic data in matlab
We will learn how to convert a mseed data file into mat format and then read and analyze it using MATLAB
Write ascii data to mseed file using obspy
In this post, I will read a ASCII file whose first few lines contains the header information and then the three-component data. I will read using the pandas ...
scientific computing
How to analyze a huge data file with pandas
We learn how to read huge csv file containing time series data by breaking it into chunks and then visualizing it with matplotlib
How to start using pandas immediately for earth data analysis
This tutorial gives a brief description of scientific computing using Pandas by introducing Series, DataFrame, Pandas common operations, methods, conditional...
Introduction to numpy for scientific computing
This tutorial gives a brief description of scientific computing using numpy by introducing arrays, methods, attributes, random numbers, indexing, broadcastin...
data science
Estimation of the degrees of freedom of time series [python]
Two time series with predominant linear trends (very low DOF) can have a very high correlation coefficient, which can hardly be construed as an evidence for ...
Why we should use generators? [python]
Generators don’t hold the entire result in memory. It yields one result at a time.
maps
Topographic map clipped by coastlines in python
This post demonstrate how to use Python to set up clip topographic map based on coastlines.
Gmt advanced tutorial ii
Plotting publishable quality maps using generic mapping tools (GMT)
degrees of freedom
Estimation of the degrees of freedom for time series
Numerical tests to understand the degrees of freedom in time series
Estimation of the degrees of freedom of time series [python]
Two time series with predominant linear trends (very low DOF) can have a very high correlation coefficient, which can hardly be construed as an evidence for ...
optimization
Genetic algorithm: a highly robust inversion scheme for geophysical applications
An introduction to the basics of genetic algorithm along with a simple numerical example and solution of an earthquake location problem
Non-linear curve fitting to a model with multiple observational variables [matlab]
How to fit data to non-linear model
quick action
Some handy mac tweaks [macos]
Some handy tweaks for mac like relocating default screenshot location, renaming batch files etc
Mac quick action to rate the songs in apple music app [macos]
Quick action for mac to easily love, dislike, rate songs in apple music app
record section
Plotting a record section using obspy
Quickly plot record section of a stream using Obspy. I will introduce you how to make a stream from a set of SAC data, plot the record section and store it a...
Automatically plotting record section for an earthquake in the given time range [python]
Python code to automatically plot the record section for the highest magnitude earthquake in the given time range
basemap
Working with obspy and basemap
This post is aimed to resolve the issues regarding the conflicts of using obspy and basemap libraries together.
Plotting track and trajectory of tropical cyclones on a topographic map in python
Short demonstration of how to plot the track or trajectory of a hurricane on a map. Codes are included.
geospatial data visualization python python
Pygmt: high-resolution topographic map in python
A simple tutorial on how to plot high resolution topographic map using GMT tools in Python
Plotting track and trajectory of tropical cyclones on a topographic map in python
Short demonstration of how to plot the track or trajectory of a hurricane on a map. Codes are included.
epicentral distance
Plotting a record section using obspy
Quickly plot record section of a stream using Obspy. I will introduce you how to make a stream from a set of SAC data, plot the record section and store it a...
Plotting seismograms with increasing epicentral distance using python
Short demostration of how to plot the distance vs seismic waveforms and mark the P and S arrival times using the IASP91 earth model. Codes are included.
waveforms
Plotting a record section using obspy
Quickly plot record section of a stream using Obspy. I will introduce you how to make a stream from a set of SAC data, plot the record section and store it a...
Plotting seismograms with increasing epicentral distance using python
Short demostration of how to plot the distance vs seismic waveforms and mark the P and S arrival times using the IASP91 earth model. Codes are included.
Generic Mapping Tools
Gmt tutorial for beginners
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...
Pygmt: high-resolution topographic map in python
A simple tutorial on how to plot high resolution topographic map using GMT tools in Python
netcdf
Writing netcdf4 data using python
NetCDF file format has been designed for storing multidimensional scientific data such as temperature, rainfall, humidity, etc. In this post, we will see how...
Reading netcdf4 data in python
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...
MS word
Writing and formatting a scientific manuscript in microsoft word
If you are ready to use the Microsoft Word as your favourite tool for writing your awesome scientific thoughts and ideas into a manuscript, then I would like...
How to insert equation numbering in ms word
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...
microsoft word
Writing and formatting a scientific manuscript in microsoft word
If you are ready to use the Microsoft Word as your favourite tool for writing your awesome scientific thoughts and ideas into a manuscript, then I would like...
How to insert equation numbering in ms word
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...
writing manuscript
Writing and formatting a scientific manuscript in microsoft word
If you are ready to use the Microsoft Word as your favourite tool for writing your awesome scientific thoughts and ideas into a manuscript, then I would like...
How to insert equation numbering in ms word
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...
equations
Writing and formatting a scientific manuscript in microsoft word
If you are ready to use the Microsoft Word as your favourite tool for writing your awesome scientific thoughts and ideas into a manuscript, then I would like...
How to insert equation numbering in ms word
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...
data analysis
Writing netcdf4 data using python
NetCDF file format has been designed for storing multidimensional scientific data such as temperature, rainfall, humidity, etc. In this post, we will see how...
Time series analysis in python: filtering or smoothing data
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...
global optimization method
Monte carlo methods and earthquake location problem
The common geophysical problems most often have multimodal objective function with many possible minima. In this post, we will look into the Monte Carlo meth...
Least-squares method in geosciences
Least-squares method is a popular approach in geophysical inversion to estimate the parameters of a postulated Earth model from given observations. This meth...
desktopApp
Pyqt5 application for visualizing ambient sound in real-time
A PyQt5 application for retrieving and visualizing sound waveforms in real time. Codes included.
A simple system monitor app in python
A simple Python app for system CPU and RAM usage monitoring in real time. The app is build mainly using the PyQt5, pyqtgraph and psutil.
PyQt5
Pyqt5 application for visualizing ambient sound in real-time
A PyQt5 application for retrieving and visualizing sound waveforms in real time. Codes included.
A simple system monitor app in python
A simple Python app for system CPU and RAM usage monitoring in real time. The app is build mainly using the PyQt5, pyqtgraph and psutil.
pyqtgraph
Pyqt5 application for visualizing ambient sound in real-time
A PyQt5 application for retrieving and visualizing sound waveforms in real time. Codes included.
A simple system monitor app in python
A simple Python app for system CPU and RAM usage monitoring in real time. The app is build mainly using the PyQt5, pyqtgraph and psutil.
GMT6
Three-dimensional perspective map of taiwan using gmt and pygmt
We learn how to make the three-dimensional map using both GMT and PyGMT
High-quality maps using the modern interface to the generic mapping tools
GMT or generic mapping tools have become synonymous with plotting maps in Earth, Ocean, and Planetary sciences. It can be used for processing data, generatin...
pandas dataframe
How to analyze a huge data file with pandas
We learn how to read huge csv file containing time series data by breaking it into chunks and then visualizing it with matplotlib
How to start using pandas immediately for earth data analysis
This tutorial gives a brief description of scientific computing using Pandas by introducing Series, DataFrame, Pandas common operations, methods, conditional...
signal processing
Principal component analysis to decompose signals and reduce dimensionality
We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals
Signal denoising using fourier analysis in python
We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals
python3
Introduction to python for beginners
In this tutorial post, I give a quick demo of how to install Python (using anaconda) and then getting started with writing simple scripts.
anaconda
Introduction to python for beginners
In this tutorial post, I give a quick demo of how to install Python (using anaconda) and then getting started with writing simple scripts.
miniconda
Introduction to python for beginners
In this tutorial post, I give a quick demo of how to install Python (using anaconda) and then getting started with writing simple scripts.
git
Using github for team collaboration
Tutorial on how to use Git and GitHub for team collaboration on a project. Content includes installing, setting up, creating a repository, making commits, un...
github
Using github for team collaboration
Tutorial on how to use Git and GitHub for team collaboration on a project. Content includes installing, setting up, creating a repository, making commits, un...
tutorial
Using github for team collaboration
Tutorial on how to use Git and GitHub for team collaboration on a project. Content includes installing, setting up, creating a repository, making commits, un...
generators
Why we should use generators? [python]
Generators don’t hold the entire result in memory. It yields one result at a time.
bokeh
Interactive data visualization in python using bokeh
A basic to advanced guide to making interactive plots in Bokeh.
streaming data
Interactive data visualization in python using bokeh
A basic to advanced guide to making interactive plots in Bokeh.
web data visualization
Interactive data visualization in python using bokeh
A basic to advanced guide to making interactive plots in Bokeh.
noaa
Plotting 1 arc-minute global relief map in python
Plotting 1 arc-minute topographic map in python
global relief
Plotting 1 arc-minute global relief map in python
Plotting 1 arc-minute topographic map in python
non-linear
Non-linear curve fitting to a model with multiple observational variables [matlab]
How to fit data to non-linear model
curve-fitting
Non-linear curve fitting to a model with multiple observational variables [matlab]
How to fit data to non-linear model
lsqcurvefit
Non-linear curve fitting to a model with multiple observational variables [matlab]
How to fit data to non-linear model
non-linear regression
Non-linear curve fitting to a model with multiple observational variables [matlab]
How to fit data to non-linear model
station map
How to plot topographic station map in python
We read the station information from a file to plot the 1 arc-minute relief map
topographic
How to plot topographic station map in python
We read the station information from a file to plot the 1 arc-minute relief map
etopo1
How to plot topographic station map in python
We read the station information from a file to plot the 1 arc-minute relief map
mapping
Plotting the geospatial data clipped by coastlines in python
In geosciences, we most frequently have to make geospatial plots, but the available data is unevenly distributed and irregular. We like to show the data, in ...
clipped
Topographic map clipped by coastlines in python
This post demonstrate how to use Python to set up clip topographic map based on coastlines.
hypothesis testing
Hypothesis test [matlab]
Using Randomization to test the disprove the null hypothesis
null hypothesis
Hypothesis test [matlab]
Using Randomization to test the disprove the null hypothesis
histograms
Easy statistical analysis using the tools of matlab
Visualize the statistics of the data using MATLAB: mean, median, std, interquartile range, skewness, kurtosis, t-statistic, degrees of freedom
monte-carlo simulations
Monte carlo simulation to test for the correlation between two dataset [matlab]
We test for the correlation coefficients or the covariance between two sets of random numbers selected from normal distribution using the Monte Carlo simulat...
correlation
Monte carlo simulation to test for the correlation between two dataset [matlab]
We test for the correlation coefficients or the covariance between two sets of random numbers selected from normal distribution using the Monte Carlo simulat...
tomography
Numerical tests on travel time tomography [matlab]
Introduction to the concepts of tomography with equations and codes. Introduction to the concepts of overdetermined, underdetermined and mix-determined probl...
seismic tomography
Numerical tests on travel time tomography [matlab]
Introduction to the concepts of tomography with equations and codes. Introduction to the concepts of overdetermined, underdetermined and mix-determined probl...
apple music
Mac quick action to rate the songs in apple music app [macos]
Quick action for mac to easily love, dislike, rate songs in apple music app
Rating song
Mac quick action to rate the songs in apple music app [macos]
Quick action for mac to easily love, dislike, rate songs in apple music app
love song
Mac quick action to rate the songs in apple music app [macos]
Quick action for mac to easily love, dislike, rate songs in apple music app
dislike song
Mac quick action to rate the songs in apple music app [macos]
Quick action for mac to easily love, dislike, rate songs in apple music app
macbook
Mac quick action to rate the songs in apple music app [macos]
Quick action for mac to easily love, dislike, rate songs in apple music app
ios
Iphone shortcut to quickly log body temperature [ios]
Shortcut code for quickly logging temperature in Apple health app
log data
Iphone shortcut to quickly log body temperature [ios]
Shortcut code for quickly logging temperature in Apple health app
iphone
Iphone shortcut to quickly log body temperature [ios]
Shortcut code for quickly logging temperature in Apple health app
health
Iphone shortcut to quickly log body temperature [ios]
Shortcut code for quickly logging temperature in Apple health app
automation
Introduction to automating mac [macos]
Mac can be easily automated by the help of several tools such as automator, quick actions, applescripts
automator
Introduction to automating mac [macos]
Mac can be easily automated by the help of several tools such as automator, quick actions, applescripts
services
Introduction to automating mac [macos]
Mac can be easily automated by the help of several tools such as automator, quick actions, applescripts
quick actions
Introduction to automating mac [macos]
Mac can be easily automated by the help of several tools such as automator, quick actions, applescripts
applescripts
Introduction to automating mac [macos]
Mac can be easily automated by the help of several tools such as automator, quick actions, applescripts
screenshot
Some handy mac tweaks [macos]
Some handy tweaks for mac like relocating default screenshot location, renaming batch files etc
batch renaming
Some handy mac tweaks [macos]
Some handy tweaks for mac like relocating default screenshot location, renaming batch files etc
psd
Visualizing power spectral density using obspy [python]
Short demonstration of the ppsd class defined in Obspy using 3 days of data for station PB-B075
probabilistic power spectral density
Visualizing power spectral density using obspy [python]
Short demonstration of the ppsd class defined in Obspy using 3 days of data for station PB-B075
temporal plot
Visualizing power spectral density using obspy [python]
Short demonstration of the ppsd class defined in Obspy using 3 days of data for station PB-B075
spectrogram ppsd
Visualizing power spectral density using obspy [python]
Short demonstration of the ppsd class defined in Obspy using 3 days of data for station PB-B075
hurricane track
Plotting track and trajectory of tropical cyclones on a topographic map in python
Short demonstration of how to plot the track or trajectory of a hurricane on a map. Codes are included.
typhoon track
Plotting track and trajectory of tropical cyclones on a topographic map in python
Short demonstration of how to plot the track or trajectory of a hurricane on a map. Codes are included.
cyclone track
Plotting track and trajectory of tropical cyclones on a topographic map in python
Short demonstration of how to plot the track or trajectory of a hurricane on a map. Codes are included.
P-arrival
Plotting seismograms with increasing epicentral distance using python
Short demostration of how to plot the distance vs seismic waveforms and mark the P and S arrival times using the IASP91 earth model. Codes are included.
S-arrival
Plotting seismograms with increasing epicentral distance using python
Short demostration of how to plot the distance vs seismic waveforms and mark the P and S arrival times using the IASP91 earth model. Codes are included.
hierarchical data analysis
Reading netcdf4 data in python
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...
lowpass filter
Time series analysis in python: filtering or smoothing data
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...
smoothing
Time series analysis in python: filtering or smoothing data
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...
writing data
Writing netcdf4 data using python
NetCDF file format has been designed for storing multidimensional scientific data such as temperature, rainfall, humidity, etc. In this post, we will see how...
wave modeling
Simple wave modeling and hilbert transform in matlab
We demonstrate how to model a simple wave, obtain its frequencies, apply Hilbert transform, and perform edge detection
hilbert transform
Simple wave modeling and hilbert transform in matlab
We demonstrate how to model a simple wave, obtain its frequencies, apply Hilbert transform, and perform edge detection
downloading-data
Getting started with obspy: downloading waveform data
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 ...
analysis
Time series analysis in geophysics
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...
loading
Time series analysis in geophysics
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...
factor analysis
Exploratory factor analysis
Factor Analysis is an exploratory data analysis method used to search influential underlying factors or latent variables from a set of observed variables
earthquake location
Locating earthquakes using geiger’s method
Simple earthquake location problem and its solution using Geiger’s method
seismic resolution
Numerical tests for seismic resolution
Seismic resolution and fidelity are the two important measures of the quality of the seismic record and the seismic images. Seismic resolution quantifies the...
cross-correlations
How to avoid common mistakes in analyzing correlations of two time-series
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...
monte-carlo
Hypothesis test for the significance of linear trend using the monte carlo simulations
We pose a null hypothesis and enquire that given that the null hypothesis is true, how likely is the observed pattern of results? This likelihood is known as...
spectral analysis
Time-frequency analysis in matlab
A signal has one or more frequency components in it and can be viewed from two different standpoints: time-domain and frequency domain. In general, signals a...
Fourier Transform
Time-frequency analysis in matlab
A signal has one or more frequency components in it and can be viewed from two different standpoints: time-domain and frequency domain. In general, signals a...
Welchs method
Time-frequency analysis in matlab
A signal has one or more frequency components in it and can be viewed from two different standpoints: time-domain and frequency domain. In general, signals a...
Kaiser window
Time-frequency analysis in matlab
A signal has one or more frequency components in it and can be viewed from two different standpoints: time-domain and frequency domain. In general, signals a...
plomb
Time-frequency analysis in matlab
A signal has one or more frequency components in it and can be viewed from two different standpoints: time-domain and frequency domain. In general, signals a...
spectral analysis matlab
Time-frequency analysis in matlab
A signal has one or more frequency components in it and can be viewed from two different standpoints: time-domain and frequency domain. In general, signals a...
2D plots
Advanced 2d plots with matplotlib in python
Codes for plotting advanced 2D plots using matplotlib library in Python. Includes simple 2D plot, error bars, bar graphs, histograms, multiple plots, etc
bar plot
Advanced 2d plots with matplotlib in python
Codes for plotting advanced 2D plots using matplotlib library in Python. Includes simple 2D plot, error bars, bar graphs, histograms, multiple plots, etc
log scale
Advanced 2d plots with matplotlib in python
Codes for plotting advanced 2D plots using matplotlib library in Python. Includes simple 2D plot, error bars, bar graphs, histograms, multiple plots, etc
multiple plots
Advanced 2d plots with matplotlib in python
Codes for plotting advanced 2D plots using matplotlib library in Python. Includes simple 2D plot, error bars, bar graphs, histograms, multiple plots, etc
histogram
Advanced 2d plots with matplotlib in python
Codes for plotting advanced 2D plots using matplotlib library in Python. Includes simple 2D plot, error bars, bar graphs, histograms, multiple plots, etc
multiprocessing
Speed-up your codes by parallel computing in python
Parallel computing is quickly becoming a necessity. Modern computers comes with more than one process and we most often only use single process to do most of...
threading
Speed-up your codes by parallel computing in python
Parallel computing is quickly becoming a necessity. Modern computers comes with more than one process and we most often only use single process to do most of...
joblib
Speed-up your codes by parallel computing in python
Parallel computing is quickly becoming a necessity. Modern computers comes with more than one process and we most often only use single process to do most of...
least-squares method
Least-squares method in geosciences
Least-squares method is a popular approach in geophysical inversion to estimate the parameters of a postulated Earth model from given observations. This meth...
ascii
Write ascii data to mseed file using obspy
In this post, I will read a ASCII file whose first few lines contains the header information and then the three-component data. I will read using the pandas ...
text
Write ascii data to mseed file using obspy
In this post, I will read a ASCII file whose first few lines contains the header information and then the three-component data. I will read using the pandas ...
flask
Build a flask web application: sea level rise monitoring
This post gives a quick introduction on how to build a web application using Flask and deploy on Heroku server. Then, I share my codes for building advanced ...
webapp
Build a flask web application: sea level rise monitoring
This post gives a quick introduction on how to build a web application using Flask and deploy on Heroku server. Then, I share my codes for building advanced ...
deploy
Build a flask web application: sea level rise monitoring
This post gives a quick introduction on how to build a web application using Flask and deploy on Heroku server. Then, I share my codes for building advanced ...
heroku
Build a flask web application: sea level rise monitoring
This post gives a quick introduction on how to build a web application using Flask and deploy on Heroku server. Then, I share my codes for building advanced ...
slrm
Build a flask web application: sea level rise monitoring
This post gives a quick introduction on how to build a web application using Flask and deploy on Heroku server. Then, I share my codes for building advanced ...
seismograms
Plotting a record section using obspy
Quickly plot record section of a stream using Obspy. I will introduce you how to make a stream from a set of SAC data, plot the record section and store it a...
SAC
Plotting a record section using obspy
Quickly plot record section of a stream using Obspy. I will introduce you how to make a stream from a set of SAC data, plot the record section and store it a...
bandpass filter
Plotting a record section using obspy
Quickly plot record section of a stream using Obspy. I will introduce you how to make a stream from a set of SAC data, plot the record section and store it a...
instaseis
Plotting a record section using obspy
Quickly plot record section of a stream using Obspy. I will introduce you how to make a stream from a set of SAC data, plot the record section and store it a...
eigen functions
Easily integrate custom functions in matlab with python
How can we use the MATLAB functions in Python? MATLAB implementation are usually reliable as it is developed by the professionals. But the advantages of usin...
matlab engine api
Easily integrate custom functions in matlab with python
How can we use the MATLAB functions in Python? MATLAB implementation are usually reliable as it is developed by the professionals. But the advantages of usin...
matlab compiler
Easily integrate custom functions in matlab with python
How can we use the MATLAB functions in Python? MATLAB implementation are usually reliable as it is developed by the professionals. But the advantages of usin...
matlab runtime
Easily integrate custom functions in matlab with python
How can we use the MATLAB functions in Python? MATLAB implementation are usually reliable as it is developed by the professionals. But the advantages of usin...
Genetic Algorithm
Genetic algorithm: a highly robust inversion scheme for geophysical applications
An introduction to the basics of genetic algorithm along with a simple numerical example and solution of an earthquake location problem
coffee cup size problem
Genetic algorithm: a highly robust inversion scheme for geophysical applications
An introduction to the basics of genetic algorithm along with a simple numerical example and solution of an earthquake location problem
looping
The right way to loop in python
What is the fastest and most efficient way to loop in Python. We found that the numpy is fastest and python builtins are the most memory efficient.
while loop
The right way to loop in python
What is the fastest and most efficient way to loop in Python. We found that the numpy is fastest and python builtins are the most memory efficient.
for loop
The right way to loop in python
What is the fastest and most efficient way to loop in Python. We found that the numpy is fastest and python builtins are the most memory efficient.
speedup
The right way to loop in python
What is the fastest and most efficient way to loop in Python. We found that the numpy is fastest and python builtins are the most memory efficient.
subplots in GMT
High-quality maps using the modern interface to the generic mapping tools
GMT or generic mapping tools have become synonymous with plotting maps in Earth, Ocean, and Planetary sciences. It can be used for processing data, generatin...
GMT basics
High-quality maps using the modern interface to the generic mapping tools
GMT or generic mapping tools have become synonymous with plotting maps in Earth, Ocean, and Planetary sciences. It can be used for processing data, generatin...
fourier transform
Wavelet analysis applied to the real dataset in a quick and easy way
An introduction to the wavelet analysis for a real geophysical data set. I compared the analysis to the Fourier analysis. Codes included!
Wavelet transform
Wavelet analysis applied to the real dataset in a quick and easy way
An introduction to the wavelet analysis for a real geophysical data set. I compared the analysis to the Fourier analysis. Codes included!
Sea surface temperature data
Wavelet analysis applied to the real dataset in a quick and easy way
An introduction to the wavelet analysis for a real geophysical data set. I compared the analysis to the Fourier analysis. Codes included!
indian monsoon rainfall data
Wavelet analysis applied to the real dataset in a quick and easy way
An introduction to the wavelet analysis for a real geophysical data set. I compared the analysis to the Fourier analysis. Codes included!
pygmt
Three-dimensional perspective map of taiwan using gmt and pygmt
We learn how to make the three-dimensional map using both GMT and PyGMT
three-dimensional map
Three-dimensional perspective map of taiwan using gmt and pygmt
We learn how to make the three-dimensional map using both GMT and PyGMT
sktime
A quick look into the sktime for time-series forecasting
I used the sktime library to forecast the airline data using NaiveForecaster, KNeighborsRegressor, Statistical forecasters, and auto ARIMA model.
forecasting
A quick look into the sktime for time-series forecasting
I used the sktime library to forecast the airline data using NaiveForecaster, KNeighborsRegressor, Statistical forecasters, and auto ARIMA model.
NaiveForecaster
A quick look into the sktime for time-series forecasting
I used the sktime library to forecast the airline data using NaiveForecaster, KNeighborsRegressor, Statistical forecasters, and auto ARIMA model.
KNeighborsRegressor
A quick look into the sktime for time-series forecasting
I used the sktime library to forecast the airline data using NaiveForecaster, KNeighborsRegressor, Statistical forecasters, and auto ARIMA model.
ExponentialSmoothing
A quick look into the sktime for time-series forecasting
I used the sktime library to forecast the airline data using NaiveForecaster, KNeighborsRegressor, Statistical forecasters, and auto ARIMA model.
ARIMA
A quick look into the sktime for time-series forecasting
I used the sktime library to forecast the airline data using NaiveForecaster, KNeighborsRegressor, Statistical forecasters, and auto ARIMA model.
arrays
Introduction to numpy for scientific computing
This tutorial gives a brief description of scientific computing using numpy by introducing arrays, methods, attributes, random numbers, indexing, broadcastin...
methods and attributes
Introduction to numpy for scientific computing
This tutorial gives a brief description of scientific computing using numpy by introducing arrays, methods, attributes, random numbers, indexing, broadcastin...
big data
How to analyze a huge data file with pandas
We learn how to read huge csv file containing time series data by breaking it into chunks and then visualizing it with matplotlib
read_csv
How to analyze a huge data file with pandas
We learn how to read huge csv file containing time series data by breaking it into chunks and then visualizing it with matplotlib
PyTorch
Getting familiar with pytorch data structures
In this introduction to the concepts of Pytorch data structures, we will learn about how to create and reshape tensors using Pytorch and compare it with the ...
Tensors
Getting familiar with pytorch data structures
In this introduction to the concepts of Pytorch data structures, we will learn about how to create and reshape tensors using Pytorch and compare it with the ...
Alexnet
Transfer learning applied on the unsplash data using alexnet pretrained network
Transfer learning using the pre-trained deep learning networks from MATLAB can be easily implemented to achieve fast and impressive results
transfer learning
Transfer learning applied on the unsplash data using alexnet pretrained network
Transfer learning using the pre-trained deep learning networks from MATLAB can be easily implemented to achieve fast and impressive results
fft
Signal denoising using fourier analysis in python
We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals
filter
Signal denoising using fourier analysis in python
We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals
