Assess geometry and semantics
Analysis of geometries, semantic structures, coordinate reference systems and exchange formats, particularly for CityGML, CityJSON, point clouds, raster data and PostGIS.
Oliver Förster · Geoinformatics · 3D geospatial data · Geospatial services
Geospatial data analysis, reproducible processing and service-based delivery.
I design and implement custom solutions for spatial data. My work focuses on semantic 3D city models, CityGML, Python-based GIS methods, and standardised or application-specific web services.
Professional focus
Domain analysis, software engineering and system operations
My work combines the domain-specific analysis of spatial data with technical implementation. The data model, geometry, coordinate reference system, semantics, interfaces and operating environment are considered as a coherent system.
For tasks that cannot be addressed adequately with existing standard tools, I develop specialised Python, GIS and 3D applications. This includes data conversion, validation, spatial analysis, geometric processing, texturing and automated quality assurance.
Experience in Linux, web and systems administration enables me to package, secure, monitor and deploy processing methods in a defined and reproducible operating environment.
Areas of work
Aligning the data model, processing methods and system operations
Technical solutions are derived from the domain data model, intended use cases and verifiable quality requirements.
Implement reproducible processing
Development of reproducible workflows, Python applications and extensions for QGIS and Blender, including validation, error handling and automated testing.
Provide controlled interfaces
Delivery as a web application, programmatic interface or WPS, taking account of access control, logging, resource limits and monitoring.
Web Processing Service
Custom geoprocessing through standardised interfaces
I develop custom WPS processes and Python-based geoprocessing services for recurring or computationally intensive tasks. Inputs, parameters and domain constraints are validated explicitly; processing and output follow defined, reproducible rules.
Depending on the task, I combine PyWPS, QGIS Server, QWC, PostgreSQL/PostGIS and standalone Python modules. The technical implementation includes authentication, logging, resource limits, temporary storage, cleanup and monitoring.
- Interface
- WPS based on the OGC specification or an application-specific geoprocessing API
- Processing
- Python, QGIS, PostGIS and command-line methods with defined inputs and outputs
- Validation
- Formats, geometries, coordinate reference systems, file sizes and domain constraints
- Operations
- Authentication, logging, resource limits, temporary storage, cleanup and monitoring
3D geospatial data
Systematic processing of semantic 3D city models
The workflow is defined as a continuous processing chain from initial assessment to delivery. Domain and technical checks are applied at every processing stage.
Assessment
Review of the data model, level of detail, semantics, georeferencing and geometric consistency.
Transformation
Import, conversion, modelling, texturing and derivation of supplementary geometry.
Quality assurance
Validation, error analysis, defined fallback procedures and traceable processing.
Delivery
Export to standardised formats and integration into databases, web services and visualisations.
Technical focus
Selecting technologies according to domain and operational requirements
Open-source components and open standards are preferred. Existing proprietary environments are integrated where required by the data flow, interfaces or system landscape.
Working method
Assessing requirements, test datasets and results transparently
Technical decisions are based on explicit constraints, representative data and reproducible tests.
Structured analysis
Complex tasks are divided into verifiable subproblems, data flows and interfaces.
Testing with representative data
Prototypes are evaluated early using representative datasets and known edge cases.
Measurable optimisation
Data quality, runtime, memory use and error tolerance are improved against defined criteria.
Reproducible operations
Configuration, dependencies, logging and reproducibility are part of the delivered solution.
Contact
Technical discussion and project enquiries
I am available by email for enquiries concerning geodata, 3D GIS, CityGML, automation or Web Processing Services.