Introduction Visualizing Digital Elevation Models (DEMs) in 3D is an engaging way to explore terrain data. In this tutorial, we’ll create an interactive 3D terrain map using Three.js and a GeoTIFF file. GeoTIFF is a popular format for storing geospatial raster data, such as elevation. By the end of this tutorial, you’ll know how to: […]
Creating 3D Terrain Maps from GeoTIFF Files with Three.js Read More »
In this tutorial, we’ll walk through how to process and save raster chunks in parallel using Xarray and Dask. This technique is particularly useful when working with large raster datasets where chunking and parallel processing can significantly improve efficiency. Prerequisites Before we begin, ensure you have the following Python libraries installed: You can install them
Parallel Processing and Saving Raster Chunks Using Xarray and Dask Read More »
In this blog post, we’ll dive into the fascinating world of projectile motion and how we can simulate it using CesiumJS, a powerful library for creating 3D globes and maps. We’ll break down the key concepts used in our simulation, including the quadratic equation, and explain how they come together to create an interactive visualization
Simulating Projectile Motion with CesiumJS and Quadratic Equations Read More »
Bathymetric data provides detailed information about the depths of water bodies, helping us understand underwater topography. Contour lines, which connect points of equal depth, are an essential tool for visualizing this data. In this tutorial, we’ll walk through how to generate bathymetric contour lines using Python. We’ll use the following Python libraries: Step 1: Import
Creating Bathymetric Contour Lines in Python: A Step-by-Step Guide Read More »
Measuring atmospheric pressure along road segments is crucial for understanding microclimate variations, improving weather forecasts, and enhancing road safety. This data, collected using barometric sensors, GPS, and Automated Weather Stations (AWS), helps monitor environmental conditions and detect weather-related hazards. I have some measurements of atmospheric pressure along a road segment and wish to map and
Spatial Analysis of Atmospheric Pressure Data Along a Road Segment Read More »
When exploring the realm of geometry, we encounter various shapes and forms, each with unique properties and characteristics. Among these, quadrilaterals stand out as four-sided polygons with a fascinating array of types and features. This blog post will delve into the specifics of closed, convex quadrilateral shapes, explaining their properties and providing visual examples to
Understanding Closed, Convex Quadrilateral Shapes Read More »
Coordinate transformation is a crucial technique in many fields, including sonar data processing, robotics, and computer graphics. In this tutorial, we will explore the mathematical foundations and practical applications of transforming coordinates from polar to Cartesian systems and vice versa. By the end of this guide, you’ll understand how to apply these transformations to accurately
From Angles to Points: Understanding Coordinate Transformations from Polar to Cartesians Read More »
Decline curve analysis (DCA) is an essential tool for petroleum engineers, enabling the prediction of future oil and gas production rates. This technique provides valuable insights into reservoir performance and assists in making informed decisions regarding field development and management. One of the most commonly used methods for decline curve analysis is the Arps decline
Arps Decline Curve Analysis: A Practical Guide for Petroleum Engineers Read More »
Automated polygon splitting based on points is a common task in spatial analysis and geographic information systems (GIS). It is often used in various applications such as urban planning, resource allocation, and spatial clustering. The goal is to divide a larger geographic area (represented as a polygon) into smaller, more manageable areas based on specific
Automated Polygon Splitting Using Voronoi Diagrams and Clustering Read More »
3D tiles are a powerful method for rendering large and complex 3D data sets on the web. They were developed as a solution to the challenges of displaying detailed 3D scenes in a browser, which traditionally required large amounts of data to be transferred and processed. 3D tiles break down the data into smaller, manageable
Rendering Point Cloud in CesiumJS Read More »
