Read the earthquake data from a csv file and overlay on a topographic map using PyGMT.
Empirical Orthogonal Functions analysis decomposes the continuous space-time field into a set of orthogonal spatial patterns along with a set of associated uncorrelated time series or principal components. Introductory concepts of EOF analysis
Explore the application of wavelet analysis on real-world geophysical datasets, like ENSO sea surface temperature and Indian monsoon rainfall. This post provides a comparison to Fourier analysis and includes Python code for easy replication.
An introduction to the basics of genetic algorithm along with a simple numerical example and solution of an earthquake location problem
Parallel computing is essential for handling large datasets efficiently. In this post, we explore Python's threading, multiprocessing, and joblib libraries to speed up code execution. Learn the differences between threading and multiprocessing, and understand how to use joblib for optimized parallel processing, especially with NumPy arrays.
A simple tutorial on how to plot high resolution topographic map using GMT tools in Python
This tutorial demonstrates how to automatically generate a seismic record section for the largest earthquake within a specified time range and geographic area using Python. The process includes downloading seismic data, applying filters, and visualizing the waveforms for interpretation.
Learn how to create visually compelling relief maps in Python by clipping topographic data to specific geographic boundaries, such as coastlines. This tutorial walks you through the process of using matplotlib and Basemap to focus your visualizations on land features within the Taiwan coastline, or alternatively, highlight bathymetric features by masking the land.
In this post, we explore how to perform geospatial interpolation using the Ordinary Kriging method and visualize the results within the coastline borders of Taiwan. Learn how to efficiently handle irregularly distributed geospatial data and automate the process of clipping data outside geographic boundaries for more accurate and meaningful visualizations.
Bokeh is a robust Python library for creating interactive, visually appealing web visualizations without requiring JavaScript. It excels in interactivity, integration with web frameworks, customization, and performance. This tutorial covers installation, basic and advanced plotting, styling, data management, and layout configurations, providing a comprehensive guide for data scientists and developers.