stripy 0.1.1

2D spherical and Cartesian triangulation toolkit using tripack, stripack, srfpack and ssrfpack

A Python interface to TRIPACK and STRIPACK Fortran code for (constrained) triangulation in Cartesian coordinates and on a sphere. Stripy is an object-oriented package and includes routines from SRFPACK and SSRFPACK for interpolation (nearest neighbor, linear and hermite cubic) and to evaluate derivatives.

Installation

To install (numpy and fortran compiler, preferably gfortran, required):

• python setup.py build

• If you change the fortran compiler, you may have to add the flags config_fc --fcompiler=<compiler name> when setup.py is run (see docs for [numpy.distutils] (http://docs.scipy.org/doc/numpy-dev/f2py/distutils.html)).

• python setup.py install

Alternatively install using pip:

• [sudo] pip install stripy

Usage

Two classes are included as part of the Stripy package:

• Triangulation (Cartesian coordinates)

• sTriangulation (Spherical coordinates)

Aside from the intent of triangulating Cartesian and Spherical coordinates, the classes share almost identical methods and attributes. They can be easily interchanged.

To run a series of tests, execute python tests/__init__.py.

References

R. J. Renka, “ALGORITHM 751: TRIPACK: A Constrained Two- Dimensional Delaunay Triangulation Package” ACM Trans. Math. Software, Vol. 22, No. 1, 1996, pp. 1-8.

R. J. Renka, “ALGORITHM 752: SRFPACK: Software for Scattered Data Fitting with a Constrained Surface under Tension”, ACM Trans. Math. Software, Vol. 22, No. 1, 1996, pp. 9-17.

R. J. Renka, “ALGORITHM 772: STRIPACK: Delaunay Triangulation and Voronoi Diagram on the Surface of a Sphere” ACM Trans. Math. Software, Vol. 23, No. 3, 1997, pp. 416-434.

R. J. Renka, “ALGORITHM 773: SSRFPACK: Interpolation of Scattered Data on the Surface of a Sphere with a Surface under Tension”, ACM Trans. Math. Software, Vol. 23, No. 3, 1997, pp. 437-439.