We created MDAL - the Mesh Data Abstraction Library - and brought native mesh layer support to QGIS. Hydraulic models, flood simulations, meteorological forecasts, and oceanographic data can all be loaded, visualised, and edited directly in QGIS without specialist software.
Funded and supported by leading software vendors and users worldwide
The MDAL library is the foundation of mesh support in QGIS. Every element of the QGIS mesh infrastructure was designed and implemented by Lutra. By integrating the MDAL library and interactive editing directly into the mainline release, we provide a stable and professional framework for temporal and multidimensional data analysis.
MDAL - Mesh Data
Abstraction Library
Raster and vector formats cannot adequately represent the outputs of hydraulic, hydrological, or meteorological solvers which produce results on unstructured grids that vary in space and time. We created MDAL as the open-source answer: a format-agnostic C++ library that gives QGIS a unified interface to any mesh dataset, exactly as GDAL does for rasters.
  • MIT-licensed C++ library, bundled with every QGIS installation
  • Reads structured, unstructured, and 1D/2D/3D mesh types
  • Supports scalar and vector dataset groups with full temporal dimension
  • External driver system for vendor-specific proprietary formats
  • Accepted as an OSGeo Community Project in 2021

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Lutra Consulting is a QGIS-focused expert provider of geospatial software development, consulting, training, and support services.

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