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Geographic Information Systems (GIS) have become so much more than just mapping. Today's Geospatial Projects involve complex analyses of spatial data with many different types of analysis, large amounts of data, advanced computations (optimisation), interpolation, clustering, and predictive modelling. Advanced Geospatial Processing (GSP) is performed in Specialised GIS Software, but as a language of choice for advanced geospatial processing (APG), Python offers an incredibly

Light Detection and Ranging (LiDAR) is now a dominant and critical technology in the fields of geospatial analysis, modeling, and data collection for planning and building cities, forestry, and infrastructure development. With the ever-increasing volumes and complexity of LiDAR datasets, the need for well-organized and streamlined workflows to access and process meaningful information from these types of data is becoming more important than ever. Point Data Abstraction Librar

As 3D sensing technology keeps changing how a variety of industries operate, including robotics, self-driving vehicles, digital twins, augmented reality (AR), virtual reality (VR), and industrial inspection, more and more developers will use third-party libraries to help them analyze and interpret their captured 3D data. Open3D and Point Cloud Library (PCL) are two of the most widely used open-source libraries for point cloud processing, as well as for analyzing the underlyin

As the fields of 3D computer vision, drones, autonomous systems, augmented/virtual reality (AR/VR), and digital twins continue to expand, there is an increasing need for tools that can effectively process and visualize 3D data. Open3D has grown into one of the most widely used open source libraries for point clouds, meshes, RBG-D images, and creating 3D reconstruction pipelines. Whether developing robotics applications as a machine learning engineer or as a researcher in an a