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: DSsim
Depends: graphics, splancs, mrds, mgcv, shapefiles, methods
Suggests: testthat, parallel, knitr, rmarkdown
Type: Package
Title: Distance Sampling Simulations
Version: 1.0.5
Date: 2016-06-17
LazyLoad: yes
Author: Laura Marshall <lhm@st-and.ac.uk>
Maintainer: Laura Marshall <lhm@st-and.ac.uk>
Description: Performs distance sampling simulations. It repeatedly
generates instances of a user defined population within a given survey
region, generates realisations of a survey design (currently these must
be pregenerated using Distance software <http://distancesampling.org/>) and
simulates the detection process. The data are then analysed
so that the results can be compared for accuracy and precision
across all replications. This will allow users to select survey
designs which will give them the best accuracy and precision
given their expectations about population distribution. Any uncertainty in
population distribution or population parameters can be included by running
the different survey designs for a number of different population
descriptions. An example simulation can be found in the help file
for make.simulation.
License: GPL (>= 2)
Collate: 'DDF.Data.R' 'generic.functions.R' 'DDF.Analysis.R'
'DS.Analysis.R' 'Survey.Design.R' 'PT.Design.R'
'PT.Systematic.Design.R' 'PT.Random.Design.R' 'LT.Design.R'
'LT.User.Specified.Design.R' 'LT.EqSpace.ZZ.Design.R'
'LT.EqAngle.ZZ.Design.R' 'LT.Random.Design.R'
'LT.Systematic.Design.R' 'Density.R' 'Population.Description.R'
'Region.R' 'Region.Table.R' 'Sample.Table.R' 'Obs.Table.R'
'Single.Obs.DDF.Data.R' 'Transect.R' 'Line.Transect.R'
'Detectability.R' 'Population.R' 'LT.Survey.Results.R'
'Survey.Results.R' 'DSM.Analysis.R' 'Simulation.R'
'Class.Constructors.R' 'Design.Summary.R' 'Survey.R'
'LT.Survey.R' 'Point.Transect.R' 'PT.Survey.R'
'Population.Summary.R' 'Simulation.Summary.R'
'Single.Obs.LT.Survey.R' 'Single.Obs.PT.Survey.R'
'accumulate.PP.results.R' 'add.dist.error.R'
'add.summary.results.R' 'calc.area.R'
'calc.poss.detect.dists.lines.R'
'calc.poss.detect.dists.points.R' 'check.intersection.R'
'check.shapefile.R' 'coords.from.shapefile.R' 'create.bins.R'
'data.for.distance.R' 'description.summary.R'
'generate.pop.D.R' 'generate.pop.N.R' 'get.ave.density.R'
'get.bound.box.R' 'get.line.sampler.info.R'
'get.point.sampler.info.R' 'get.shapefile.names.R'
'get.surface.constant.R' 'get.surface.gam.R' 'hn.detect.R'
'hr.detect.R' 'in.polygons.R' 'is.gap.R'
'modify.strata.for.analysis.R' 'rename.duplicates.R'
'save.sim.results.R' 'simulate.detections.R'
'single.simulation.loop.R' 'store.ddf.results.R'
'store.dht.results.R' 'uf.detect.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-20 11:13:22 UTC; laura
Repository: CRAN
Date/Publication: 2016-06-20 20:25:41
Package: dixon
Type: Package
Title: Nearest Neighbour Contingency Table Analysis
Version: 0.0-5
Date: 2013-03-13
Author: Marcelino de la Cruz Rot and Philip M. Dixon
Maintainer: Marcelino de la Cruz Rot <marcelino.delacruz@upm.es>
Depends: splancs, spatstat
Description: Function to test spatial segregation and association based
in contingency table analysis of nearest neighbour counts
following Dixon (2002). Some fortran code has been included to
the original dixon2002 function of the ecespa package to
improve speed.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Packaged: 2013-03-13 19:54:46 UTC; mc
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-03-13 21:10:26
Package: ecespa
Type: Package
Title: Functions for Spatial Point Pattern Analysis
Version: 1.1-8
Date: 2015-06-23
Author: Marcelino de la Cruz Rot, with contributions of Philip M. Dixon and Jose M. Blanco-Moreno
Maintainer: Marcelino de la Cruz Rot <marcelino.delacruz@upm.es>
Depends: splancs, spatstat (>= 1.4.0)
Description: Some wrappers, functions and data sets for for spatial point pattern analysis (mainly based on spatstat), used in the book "Introduccion al Analisis Espacial de Datos en Ecologia y Ciencias Ambientales: Metodos y Aplicaciones".
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
NeedsCompilation: yes
Packaged: 2015-07-03 20:20:22 UTC; marcelino
Repository: CRAN
Date/Publication: 2015-07-04 08:42:13
Package: aspace
Type: Package
Title: A collection of functions for estimating centrographic
statistics and computational geometries for spatial point
patterns
Version: 3.2
Date: 2012-08-08
Author: Randy Bui, Ron N. Buliung, Tarmo K. Remmel
Maintainer: Ron N. Buliung <ron.buliung@utoronto.ca>
Description: A collection of functions for computing centrographic
statistics (e.g., standard distance, standard deviation
ellipse, standard deviation box) for observations taken at
point locations. Separate plotting functions have been
developed for each measure. Users interested in writing results
to ESRI shapefiles can do so by using results from aspace
functions as inputs to the convert.to.shapefile and
write.shapefile functions in the shapefiles library. The aspace
library was originally conceived to aid in the analysis of
spatial patterns of travel behaviour (see Buliung and Remmel,
2008). Major changes in the current version include (1) removal
of dependencies on several external libraries (e.g., gpclib,
maptools, sp), (2) the separation of plotting and estimation
capabilities, (3) reduction in the number of functions, and (4)
expansion of analytical capabilities with additional functions
for descriptive analysis and visualization (e.g., standard
deviation box, centre of minimum distance, central feature).
License: GPL (>= 2)
Depends: R (>= 2.15.1), splancs, Hmisc, shapefiles
LazyData: yes
Packaged: 2012-08-13 19:43:52 UTC; Randy Bui
Repository: CRAN
Date/Publication: 2012-08-14 12:37:42
Package: stpp
Type: Package
Title: Space-Time Point Pattern simulation, visualisation and analysis
Version: 1.0-5
Date: 2014-12-11
Author: Edith Gabriel, Peter J Diggle, stan function by Barry Rowlingson
Maintainer: Edith Gabriel <edith.gabriel@univ-avignon.fr>
Depends: R (>= 2.10), splancs, KernSmooth, spatstat
Suggests: rpanel, rgl
Description: A package for analysing, simulating and displaying space-time point patterns
License: GPL-3
LazyLoad: yes
Packaged: 2014-12-16 13:46:14 UTC; math
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-12-17 09:25:40
Package: soilprofile
Type: Package
Title: A package to consistently represent soil properties along a soil
profile
Version: 1.0
Date: 2013-02-25
Author: Gianluca Filippa
Maintainer: Gianluca Filippa <gian.filippa@gmail.com>
Description: This package provides functions to graphically represent
soil properties. Morphological data gathered in the field
such as horizon boundaries, root abundance and dimensions,
skeletal shape, abundance and dimension as well as
meaningful soil color may be represented via the plot
function. A lattice-based plot.element function has been
designed to represent depth function of a given variable.
Depends: R (>= 2.14.1), aqp, lattice, munsell, splancs, methods
LazyLoad: yes
LazyData: yes
License: GPL-2
Packaged: 2013-08-23 09:15:30 UTC; gian
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-08-24 00:42:57
providing 
.