https://github.com/cran/spatstat
Tip revision: 8ef1882fb4bae84ba0cf2d81b1af0553bd07c298 authored by Adrian Baddeley on 23 September 2011, 12:18:30 UTC
version 1.23-5
version 1.23-5
Tip revision: 8ef1882
DESCRIPTION
Package: spatstat
Version: 1.23-5
Date: 2011-09-23
Title: Spatial Point Pattern analysis, model-fitting, simulation, tests
Author: Adrian Baddeley <Adrian.Baddeley@csiro.au> and Rolf Turner
<r.turner@auckland.ac.nz> with substantial contributions of
code by Kasper Klitgaard Berthelsen; Marie-Colette van
Lieshout; Ege Rubak; Dominic Schuhmacher; and Rasmus
Waagepetersen. Additional contributions by Q.W. Ang; S.
Azaele; C. Beale; R. Bernhardt; B. Biggerstaff; R. Bivand; F.
Bonneu; J. Burgos; S. Byers; Y.M. Chang; J.B. Chen; I.
Chernayavsky; Y.C. Chin; B. Christensen; M. de la Cruz; P.
Dalgaard; P.J. Diggle; I. Dryden; S. Eglen; A. Gault; M.
Genton; P. Grabarnik; C. Graf; J. Franklin; U. Hahn; A.
Hardegen; M. Hering; M.B. Hansen; M. Hazelton; J. Heikkinen; K.
Hornik; R. Ihaka; A. Jalilian; R. John-Chandran; D. Johnson; M.
Kuhn; J. Laake; R.A. Lamb; G.P. Leser; B. Madin; R. Mark; J.
Mateu; P. McCullagh; U. Mehlig; S. Meyer; X.C. Mi; J. Moller;
L.S. Nielsen; F. Nunes; E. Parilov; J. Picka; A. Raftery; M.
Reiter; T.O. Richardson; B.D. Ripley; B. Rowlingson; J. Rudge;
A. Sarkka; K. Schladitz; B.T. Scott; G.C. Shen; V. Shcherbakov;
I.-M. Sintorn; Y. Song; M. Spiess; M. Stevenson; K. Stucki; M.
Sumner; P. Surovy; B. Taylor; B. Turlach; A. van Burgel; T.
Verbeke; A. Villers; H. Wang; H. Wendrock; J. Wild and S. Wong.
Maintainer: Adrian Baddeley <Adrian.Baddeley@csiro.au>
Depends: R (>= 2.13.0), stats, graphics, utils, mgcv, deldir (>=
0.0-10)
Suggests: gpclib, sm, maptools, spatial, rpanel, tkrplot,
scatterplot3d, RandomFields (>= 2.0)
Description: A package for analysing spatial data, mainly Spatial Point
Patterns, including multitype/marked points and spatial
covariates, in any two-dimensional spatial region. Also
supports three-dimensional point patterns, and space-time point
patterns in any number of dimensions. Contains over 1000
functions for plotting spatial data, exploratory data analysis,
model-fitting, simulation, spatial sampling, model diagnostics,
and formal inference. Data types include point patterns, line
segment patterns, spatial windows, pixel images and
tessellations. Exploratory methods include K-functions,
nearest neighbour distance and empty space statistics, Fry
plots, pair correlation function, kernel smoothed intensity,
relative risk estimation with cross-validated bandwidth
selection, mark correlation functions, segregation indices,
mark dependence diagnostics etc. Point process models can be
fitted to point pattern data using functions ppm, kppm, slrm
similar to glm. Models may include dependence on covariates,
interpoint interaction, cluster formation and dependence on
marks. Fitted models can be simulated automatically. Also
provides facilities for formal inference (such as chi-squared
tests) and model diagnostics (including simulation envelopes,
residuals, residual plots and Q-Q plots).
License: GPL (>= 2)
URL: http://www.spatstat.org
Packaged: 2011-09-23 03:05:50 UTC; adrian
Repository: CRAN
Date/Publication: 2011-09-23 12:18:30