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tulpaMesh  

Constrained Delaunay Triangulation Meshes for Spatial 'SPDE' Models
View on CRAN: Click here


Download and install tulpaMesh package within the R console
Install from CRAN:
install.packages("tulpaMesh")

Install from Github:
library("remotes")
install_github("cran/tulpaMesh")

Install by package version:
library("remotes")
install_version("tulpaMesh", "0.1.3")



Attach the package and use:
library("tulpaMesh")
Maintained by
Gilles Colling
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-03
Latest Update: 2026-04-03
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.
How to cite:
Gilles Colling (2026). tulpaMesh: Constrained Delaunay Triangulation Meshes for Spatial 'SPDE' Models. R package version 0.1.3, https://cran.r-project.org/web/packages/tulpaMesh. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:15), 0.1.1 (2026-04-03 10:20)
Other packages that cited tulpaMesh R package
View tulpaMesh citation profile
Other R packages that tulpaMesh depends, imports, suggests or enhances
Complete documentation for tulpaMesh
Functions, R codes and Examples using the tulpaMesh R package
Full tulpaMesh package functions and examples
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