surfit is a computer program
which enables to calculate regular grid from various data (scattered points,
2D and 3D contours, surfaces, etc) in different ways (interpolation, approximation, inequalities, etc).
surfit
implements the original gridding method.
surfit is an
Open Source and Free
Software, the source code is available free of charge under the Free
Software GPL license.
The code is written in C++ with STL usage. Careful attention is paid to
performance related issues. The initial goal of surfit
is to provide an efficient tool to scientists dealing with
gridding computational tasks.
The program has the following basic features:
Allows to build your own gridding algorithm by defining a set of so called
"gridding rules".
Allows to build "gridding rules" from:
scattered points
(surface should interpolate or approximate points);
curves
(surface should interpolate or approximate curve with constant value or with
values taken from other surface);
areas
(surface should interpolate or approximate area with constant value or with
values taken from other surface);
contours
(surface should interpolate or approximate contour);
surfaces
(surface should interpolate or approximate other surface);
inequalities
(based on points, curves, areas, ... );
linear conditions (mean or weighted mean values for
whole surface, or in some area).
Can deal with HUGE
data sets.
Quality of resulting surface can be comparable
with a surface created by Kriging or Minimum curvature method.
New module libsurfit_io - implements import/export procedures for various data of various formats.
New module surfit4saga - plugin for SAGA-GIS, that allows to call surfit gridding method from SAGA.
New version of tool for creating scripts and results visualization:
funner-2.1b.
Minor bugfixes.
Release 2.0 3rd May 2006
New features/important changes include:
A flexible gridding algorithm implemented: a set of "gridding rules" determines
a resulting surface. User should select and configure "gridding rules".
Gridding rules allow to set following conditions:
interpolation or approximation
values given at scattered data points, curves, areas, contours, surfaces, ...
inequalities (!)
for scattered data points, curves, areas, contours, surfaces, ...
mean or weighted mean
values for areas.
resulting surface behaviour in areas without any data.
Renewed documentation and samples.
New tool for creating scripts and results visualization:
funner-2.0b.
