Package: latticeDensity
Type: Package
Title: Density estimation and nonparametric regression on irregular
regions
Version: 1.0.7
Date: 2012-01-06
Author: Ronald Barry <rpbarry@alaska.edu>
Maintainer: Ronald Barry <rpbarry@alaska.edu>
Depends: splancs, spdep, spatstat, spam
Description: This package contains functions that compute the
lattice-based density estimator of Barry and McIntyre, which
accounts for point processes in two-dimensional regions with
irregular boundaries and holes. The package also implements
two-dimensional non-parametric regression for similar regions.
License: GPL-2
URL: www.r-project.org
Packaged: 2012-01-07 01:17:55 UTC; Ronald Barry
Repository: CRAN
Date/Publication: 2012-01-07 05:44:22
Package: DCluster
Version: 0.2-7
Date: 2015-02-24
Title: Functions for the Detection of Spatial Clusters of Diseases
Encoding: latin1
Author: Virgilio Gómez-Rubio, Juan Ferrándiz-Ferragud and Antonio
López-Quílez, with contributions by Roger Bivand.
Maintainer: Virgilio Gómez-Rubio <Virgilio.Gomez@uclm.es>
Depends: R (>= 1.6.2), boot, spdep, MASS
Description: A set of functions for the detection of spatial clusters
of disease using count data. Bootstrap is used to estimate
sampling distributions of statistics.
License: GPL (>= 2)
Packaged: 2015-03-17 16:16:13 UTC; virgil
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-03-17 17:58:56
Package: Digiroo2
Type: Package
Title: An application programming interface for generating null models
of social contacts based on individuals' space use
Version: 0.6
Date: 2013-02-21
Author: Ross Dwyer, Emily Best and Anne Goldizen
Maintainer: Ross Dwyer <ross.dwyer@uq.edu.au>
Description: Digiroo2 is an R package developed by researchers at the
University of Queensland to investigate association patterns
and social structure in wild animal populations. Proximity
between individuals is generally considered to be an
appropriate proxy for associations and pairwise association
indices are the most widely used technique for analysing animal
social structure. However, little attention is given to
identifying how patterns of spatial overlap affect these
association patterns. For example, do individuals associate
randomly with others with whom they share home ranges, or do
some individuals go out of their way to associate with or avoid
particular individuals? This program builds a null model of
random associations based on an individual's space use
determined using home range methodologies. Random points may be
generated within a specified home range contour or according to
the Utilization Distribution (UD). Expected associations of
individuals are extracted based on probability of occurrence
and the proximity between home range weighted random points.
Association matrices can be generated from multiple
permutations for analysis using SOCPROG 2.4 (Whitehead 2009) to
create 'expected' pairwise half-weight association indices
(HWIs). These may be compared with the 'observed' HWIs from
field observations to reveal whether pairs of animals associate
more (= attraction) or less (= avoidance) than expected by
chance.
Depends: R (>= 2.14.0), maptools, spatstat, spdep
Suggests: adehabitatHR, raster
License: GPL (>= 2)
Packaged: 2013-02-21 04:00:30 UTC; rdwye
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-02-21 07:52:44
Package: GeoXp
Type: Package
Title: Interactive exploratory spatial data analysis
Encoding: latin1
Version: 1.6.2
Date: 2013-08-14
Author: Yves Aragon, Thibault Laurent, Lauriane Robidou, Anne
Ruiz-Gazen, Christine Thomas-Agnan
Maintainer: Thibault Laurent <thibault.laurent@univ-tlse1.fr>
Depends: R (>= 2.14.0), quantreg, rgl, spdep
Imports: KernSmooth, rgeos, robustbase, splancs, stats, tcltk
Suggests: maptools, MatrixModels, RANN
Description: GeoXp is a tool for researchers in spatial statistics,
spatial econometrics, geography, ecology etc allowing to link
dynamically statistical plots with elementary maps. This
coupling consists in the fact that the selection of a zone on
the map results in the automatic highlighting of the
corresponding points on the statistical graph or reversely the
selection of a portion of the graph results in the automatic
highlighting of the corresponding points on the map. GeoXp
includes tools from different areas of spatial statistics
including geostatistics as well as spatial econometrics and
point processes. Besides elementary plots like boxplots,
histograms or simple scatterplot, GeoXp also couples with maps
Moran scatterplots, variogram cloud, Lorentz Curves,...In order
to make the most of the multidimensionality of the data, GeoXp
includes some dimension reduction techniques such as PCA.
License: GPL (>= 2)
URL: http://www.jstatsoft.org/v47/i02/paper
Packaged: 2013-08-22 15:38:29 UTC; laurent
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-08-22 20:16:22
providing 
.