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tulpaMesh

Constrained Delaunay Triangulation Meshes for Spatial 'SPDE' Models

v0.1.1 · Apr 3, 2026 · MIT + file LICENSE

Description

Generate constrained Delaunay triangulation meshes for use with stochastic partial differential equation (SPDE) spatial models (Lindgren, Rue and Lindstroem 2011 <doi:10.1111/j.1467-9868.2011.00777.x>). Provides automatic mesh generation from point coordinates with boundary constraints, Ruppert refinement for mesh quality, finite element method (FEM) matrix assembly (mass, stiffness, projection), barrier models, spherical meshes via icosahedral subdivision, and metric graph meshes for network geometries. Built on the 'CDT' header-only C++ library (Amirkhanov 2024 <https://github.com/artem-ogre/CDT>). Designed as the mesh backend for the 'tulpa' Bayesian hierarchical modelling engine but usable standalone for any spatial triangulation task.

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Check History

OK 5 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 3, 2026

Dependency Network

Dependencies Reverse dependencies Rcpp Matrix RcppParallel tulpaMesh

Version History

new 0.1.1 Apr 3, 2026