Evaluating the usability of geospatial APIs. Geospatial technology has the potential to greatly improve the situational awareness for end users. But if the APIs to the technology are not easy for developers to use, the applications they build with it will not benefit from the full capability of the technology. The task is to design and perform a usability study that can be used to evaluate the effectiveness of geospatial APIs when performing common operations, and to then use the results of the study to suggest and implement improvements in the APIs to Carmenta’s geospatial technology. This thesis is suitable for students interested in API design and developer experience (DX). Gaussian splatting for visualization and analysis. Gaussian splatting is a volume rendering technique that can be used to reconstruct and visualize 3D environments from photos or videos. It provides higher fidelity than traditional visualization methods such as point clouds and 3D meshes. The purpose of the master’s thesis is to evaluate how gaussian splatting can be used for visualization and analysis in a real-time geospatial toolkit. Aspects to be evaluated include combining the splats with other geographic information and their ability to support analytics, such as intervisibility calculations. This thesis is suitable for students interested in algorithms, visualization and 3D graphics. Send your application and CV to employment@carmenta.com and we will contact you as soon as possible. Make sure to include the name of the Master’s Thesis you are applying for.