With R Geodesy, organizations can, for example, calculate geodetic distances, analyze coordinates, process navigation data, or apply Earth models in geographic analyses. In this blended learning course, you will learn how to perform geodetic calculations and scientific spatial analyses.
R Geodesy focuses on performing geodetic calculations, coordinate analyses, and scientific spatial analyses using the R programming language. Within Geo-ICT, this is important for issues related to distance calculation, navigation, positioning, Earth models, and spatial measurements.
With R, geodetic data can be processed, verified, and analyzed within reproducible workflows. This includes calculating distances across the Earth’s surface, working with coordinates, converting units, and performing mathematical calculations for spatial applications. This creates a powerful environment for geodesy, GIS, and scientific Geo-ICT analyses.
What makes R so powerful is the combination of programmability, statistics, and scientific computing capabilities. This allows geodetic calculations to be not only performed manually but also automated and repeated for larger datasets. Within Geo-ICT, R is increasingly being used for the verification, analysis, and modeling of spatial measurement data.
In this blended learning course, you will work with key packages such as geosphere, oce, pracma, and measurements. You will learn to work with spherical geometry, geodetic distances, navigation data, mathematical functions, and unit conversions.
In addition, R offers extensive capabilities for combining geodetic calculations with GIS data, visualization, statistics, and reporting. This makes this blended learning course particularly relevant for GIS specialists, geodesists, surveyors, data analysts, and Geo-ICT professionals who wish to perform spatial measurements and coordinate calculations in a reproducible manner.
In this blended learning course, you will be introduced to the most important capabilities of R for geodetic calculations. You will learn how to process coordinates, calculate distances, and correctly convert units within spatial analyses. You will work with packages such as geosphere, oce, pracma, and measurements.
Attention is given to spherical geometry, distance calculations across the Earth’s surface, course and navigation calculations, and working with geographic coordinates. You will learn how to apply geodetic calculations to practical Geo-ICT problems.
In addition, you will learn how R can be used for scientific calculation methods and the verification of measurement data. Using packages such as pracma and measurements, you will work on numerical calculations, conversions, and repeatable calculation steps. You will also discover how geodetic results can be combined with GIS data and reports.
During the blended learning course, you will work with practical datasets and learn how to set up reproducible geodetic workflows in R. Upon completion, you will be able to independently perform geodetic calculations, coordinate analyses, and spatial checks within GIS and Geo-ICT projects.
Do you already have experience with R Spatial Basics or R Databases? Then this blended learning course is a logical next step toward geodesy, navigation, measurement data, and scientific spatial analysis within R.
Blended learning combines independent online learning with practical, interactive sessions, allowing you to understand both the geodetic fundamentals and their practical application in R. In the online modules, you’ll learn how to process coordinates, distances, directions, and units using modern R packages.
You’ll discover how to perform geodetic calculations, how to verify spatial measurement data, and how to apply scientific computational methods within Geo-ICT 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 immediately apply the theory to realistic datasets and familiar geodetic problems. You’ll receive guidance from experienced instructors and learn how to perform calculations using packages such as geosphere, oce, pracma, and measurements.
The combination of online learning and interactive hands-on experience ensures that you not only understand how geodetic calculations work but can also apply them consistently in professional workflows. After completing the blended learning program, you will be able to effectively use R for geodesy, navigation, coordinate analysis, and spatial measurement problems.
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 coordinates is helpful, but extensive experience in geodesy is not required. During the blended learning course, geodetic calculations, reference systems, and spatial measurement principles are explained step by step using practical Geo-ICT examples.
During the blended learning course, you will work with distance calculations, spherical geometry, navigation, coordinate analysis, unit conversions, GPS-related calculations, and scientific spatial analysis within geodetic workflows.
Geodesy forms the foundation of the global geodetic supply chain. Satellite measurements, reference systems, coordinates, and precise positioning are essential for GIS, infrastructure, defense, climate monitoring, surveying, navigation, and international spatial standards. In this blended learning course, you will learn how R can be used to analyze and process geodetic data in a reproducible manner within modern Geo-ICT workflows.
During the blended learning program, you will work with software such as Geosphere, OCE, Pracma, and Measurements for geodetic calculations, navigation, spherical geometry, scientific analysis, and spatial measurement problems within R.
Yes. The blended learning course explores the relationship between geodetic calculations in R and professional geodetic software such as MOVE3. Topics covered include coordinate processing, accuracy analysis, network calculations, measurement data, and reproducible geodetic workflows within Geo-ICT and surveying applications.
