Clemens Raffler is a mobility researcher and GIS specialist based in Vienna with 11 years' experience applying spatial planning, statistical modeling, and geospatial analysis to evidence-based transport and regional planning. He brings hands-on technical depth as a QGIS core contributor and back-end developer who has ported and optimized key spatial algorithms from Python to C++—including performance-critical tools like grid creation and line density—improving the platform used by millions. At tbw research he combines project management with decision-support system development, OpenData integration, and reproducible analysis workflows. Trained as a Diplom‑Ingenieur from TU Wien, he pairs academic rigor with practical coding and a passion for alpine activities that often inspires field-driven insights into mobility patterns.
QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)
Role in this project:
Back-end Developer & Database Engineer
Contributions:3 reviews, 175 commits, 29 PRs in 2 years 1 month
Contributions summary:Clemens's commits primarily focus on porting existing algorithms from Python to C++ within the QGIS project. They have rewritten the "Create Grid" and "Densify Geometries by Count" algorithms in C++ for performance improvements. Additional contributions involve refactoring and optimizing existing algorithms like "Random points in extent" and implementing new algorithms such as "Line Density". Furthermore, the user implements and refactors the underlying libraries of the core algorithms which is related to raster data import.
Contributions:2 releases, 3 reviews, 109 commits in 5 years 1 month
toolboxdijkstraqgisnetwork-analysismatrix
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Clemens Raffler - Mobility Researcher at tbw research