Discover how Genetic Algorithms can be applied to solve the earthquake location problem in seismology. This post walks through generating synthetic seismic data, implementing a GA to estimate earthquake locations, and visualizing results. While effective, the approach has limitations, including simplified assumptions and constraints.
This article provides a step-by-step guide to plotting the trajectories of tropical cyclones on topographic maps using Python. It includes detailed code examples and explanations, enabling readers to visualize hurricane paths effectively.
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.
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.
