With Building Information Modeling (BIM), organizations can visualize 3D building models, analyze terrain models, combine point clouds with GIS data, and develop interactive digital twins. In this blended learning course, you will learn how to process, analyze, and visualize BIM and 3D data.
R Building Information Model focuses on processing, analyzing, and visualizing 3D data, BIM information, and digital building models using the R programming language. Within Geo-ICT, this is important for issues related to buildings, infrastructure, digital twins, terrain models, point clouds, and spatial 3D analysis.
With R, BIM and 3D datasets can be converted into clear visualizations and analyzable models. Examples include rendering building models, combining terrain and object data, visualizing elevation differences, and developing interactive 3D visualizations. This creates a powerful environment for BIM, GIS, and Geo-ICT workflows.
What makes R so powerful is the combination of programmability, analysis, visualization, and reproducible workflows. This allows 3D visualizations and spatial analyses to be not only built manually but also automated and repeated for different projects or datasets.
In this blended learning course, you will work with key packages such as rgl, rayshader, threejs, and vtk. You will learn to create interactive 3D visualizations, display terrain models, visualize spatial objects, and prepare 3D data for analysis and presentation.
In addition, R offers extensive capabilities for combining BIM data with GIS data, visualization, reporting, and spatial analysis. This makes this blended learning course particularly relevant for GIS specialists, BIM modelers, data analysts, designers, surveyors, and Geo-ICT professionals who wish to apply 3D information in practical ways within construction, infrastructure, and land-use projects.
In this blended learning course, you will be introduced to the key capabilities of R for BIM and 3D visualization. You will learn how to process, analyze, and visualize 3D data, terrain models, and spatial objects within reproducible workflows. You will work with packages such as rgl, rayshader, threejs, and vtk.
Attention is given to interactive 3D representations, terrain visualizations, geometries, elevation data, and digital models. You will learn how to combine BIM and GIS data and how to present 3D results for analysis, communication, and decision-making.
In addition, you will learn how R can be used for digital twins and spatial 3D workflows. Think of applications for buildings, infrastructure, urban development, terrain modeling, visualization of point clouds, and links between BIM and GIS.
During the blended learning program, you will work with practical datasets and learn how to set up reproducible BIM and 3D workflows in R. Upon completion, you will be able to independently visualize and analyze 3D data and digital models for BIM, GIS, and Geo-ICT projects.
Do you already have experience with R Visualization, R Drones, or R Geodesy? Then this blended learning course is a logical next step toward 3D analysis, digital twins, and BIM-GIS integration within R.
Blended learning combines independent online learning with practical, interactive sessions, allowing you to understand both the fundamentals of 3D visualization and its practical application within BIM and Geo-ICT. In the online modules, you’ll learn how to process 3D data, terrain models, and digital building information using modern R packages.
You’ll discover how to work with interactive 3D models, terrain visualizations, geometries, and digital twins. You’ll also learn how BIM and GIS data can be combined in reproducible workflows. Thanks to unlimited access to the course materials, you can review and practice the material at your own pace.
During the hands-on online sessions, you’ll apply the theory directly to realistic datasets and familiar construction, infrastructure, and Geo-ICT challenges. You’ll receive guidance from experienced instructors and learn how to execute 3D workflows using packages such as rgl, rayshader, threejs, and vtk.
The combination of online learning and interactive hands-on experience ensures that you not only learn how 3D data is technically processed, but also how to translate this data into actionable insights for design, management, and decision-making. After completing the blended learning program, you will be able to use R professionally for BIM visualization, 3D analysis, digital twins, and spatial Geo-ICT workflows.
You’ll receive 1-on-1 guidance. After signing up, our course coordinator will contact you to schedule your first session.
Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-house or private course? We’d be happy to help.
A basic understanding of GIS and R is helpful, but experience with BIM or 3D visualization is not required. During the blended learning course, 3D workflows, terrain models, and BIM visualizations are explained step by step using practical Geo-ICT examples.
During the blended learning program, you will work with 3D visualizations, terrain models, geometries, elevation data, digital twins, interactive models, and links between BIM and GIS data within Geo-ICT workflows.
R is used for digital building models, site visualization, infrastructure projects, point cloud analysis, digital twins, spatial simulations, interactive 3D presentations, and spatial decision-making.
Combining BIM and GIS creates an integrated environment in which buildings, infrastructure, and geographical context can be analyzed and visualized together. This makes spatial analyses, management processes, and digital twins more transparent and reproducible.
During the blended learning program, you will work with tools such as RGL, RayShader, Three.js, and VTK to create interactive 3D visualizations, terrain models, geometries, and BIM-related workflows within R.
