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Plotting seismograms with increasing epicentral distance.

Plotting track and trajectory of hurricanes on a topographic map.

Plotting 1 arc-minute global relief map.

Plotting the geospatial data clipped by coastlines.

Pygmt: high-resolution topographic map in python.

Three-dimensional perspective map of taiwan using gmt and pygmt.

High-quality maps using the modern interface to the generic mapping tools.

Non-linear curve fitting to a model with multiple observational variables.

Monte carlo simulations to test for the correlation between two dataset.

Locating earthquakes using geiger’s method.

Numerical tests on travel time tomography.

Simple wave modeling and hilbert transform in matlab.

Introduction to the time series analysis.Introduction to the exploratory factor analysis.

Estimation of the degrees of freedom for time series.

Avoiding common mistakes in analyzing correlations of two time-series.

Hypothesis test for the significance of linear trend.

Easily integrate custom functions in matlab with python.

The easy way to compute and visualize the time & frequency correlation.

Monte carlo methods and earthquake location problem.

Genetic algorithm: a highly robust inversion scheme for geophysical applications.

Signal denoising using fourier analysis in python.

Numerically solving initial value problems using the runge-kutta method.

How effective is the signal denoising using the matlab based wavelet analysis.

Numerical methods for scientific computation.