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spatstat
spatstat.geom:Geometrical Functionality of the 'spatstat' Family
Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Maintained by Adrian Baddeley. Last updated 5 days ago.
classes-and-objectsdistance-calculationgeometrygeometry-processingimagesmensurationplottingpoint-patternsspatial-dataspatial-data-analysis
7 stars 12.14 score 241 scripts 229 dependentspik-piam
quitte:Bits and pieces of code to use with quitte-style data frames
A collection of functions for easily dealing with quitte-style data frames, doing multi-model comparisons and plots.
Maintained by Falk Benke. Last updated 5 days ago.
8.26 score 184 scripts 35 dependentsropensci
BaseSet:Working with Sets the Tidy Way
Implements a class and methods to work with sets, doing intersection, union, complementary sets, power sets, cartesian product and other set operations in a "tidy" way. These set operations are available for both classical sets and fuzzy sets. Import sets from several formats or from other several data structures.
Maintained by Lluís Revilla Sancho. Last updated 1 months ago.
bioconductorbioconductor-packagesets
11 stars 5.69 score 5 scriptsvitormarquesr
qwalkr:Handle Continuous-Time Quantum Walks with R
Functions and tools for creating, visualizing, and investigating properties of continuous-time quantum walks, including efficient calculation of matrices such as the mixing matrix, average mixing matrix, and spectral decomposition of the Hamiltonian. E. Farhi (1997): <arXiv:quant-ph/9706062v2>; C. Godsil (2011) <arXiv:1103.2578v3>.
Maintained by Vitor Marques. Last updated 1 years ago.
linear-algebraprobability-theoryquantum-computingquantum-walkstatistics
3.70 score 4 scripts