R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
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Results 1 - 10 of 19 found.
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Kinhom.log (Package: ecespa) : Simulation envelopes from the fitted values of a logistic model

Computes simulation envelopes for (in-)homogeneous K-function simulating from a vector of probabilitiesn.

● Data Source: CranContrib
● Keywords: spatial
● Alias: Kinhom.log
● 0 images

syrjala (Package: ecespa) : Syrjala's test for the difference between the spatial distributions of two populations

Computes a two-sample Cramer-von Mises (and Kolmogorov-Smirnov) type test for a difference between the spatial distributions of two populations. It is designed to be sensitive to differences in the way the populations are distributed across the study area but insensitive to differences in abundance between the two populations.

● Data Source: CranContrib
● Keywords: distribution, spatial
● Alias: plot.ecespa.syrjala, plot.syrjala.test, print.ecespa.syrjala, print.syrjala.test, syrjala, syrjala.test, syrjala0
● 0 images

dixon2002 (Package: ecespa) : Dixon (2002) Nearest-neighbor contingency table analysis

dixon2002 is a wrapper to the functions of Dixon (2002) to test spatial segregation for several species by analyzing the counts of the nearest neighbour contingency table for a marked point pattern.

● Data Source: CranContrib
● Keywords: math, spatial
● Alias: dixon2002
● 0 images

ecespa (Package: ecespa) :

Some wrappers, functions and data sets for spatial point pattern analysis, with an ecological bias.

● Data Source: CranContrib
● Keywords: package, spatial
● Alias: ecespa, ecespa-package
● 0 images

ecespa-internal (Package: ecespa) : Internal ecespa functions.

Internal ecespa functions.

● Data Source: CranContrib
● Keywords: internal
● Alias: NNid, check, ginv, mNNinfo, mNNinfo2, mNNtest
● 0 images

LF.gof (Package: ecespa) : Loosmore and Ford Goodness of Fit Test

Performs the Loosmore and Ford (2006) test or the Maximum Absolute Deviation test for a spatial point pattern.

● Data Source: CranContrib
● Keywords: spatial
● Alias: LF.gof
● 0 images

sim.poissonc (Package: ecespa) : Simulate Poisson Cluster Process

Generate a random point pattern, a simulated realisation of the Poisson Cluster Process

● Data Source: CranContrib
● Keywords: spatial
● Alias: sim.poissonc
● 0 images

Kmm (Package: ecespa) : Mark-weighted K-function

This is a functional data summary for marked point patterns that measures the joint pattern of points and marks at different scales determined by r.

● Data Source: CranContrib
● Keywords: spatial
● Alias: Kmm, ecespa.kmm, plot.ecespa.kmm, print.ecespa.kmm
● 0 images

ipc.estK (Package: ecespa) : Fit the (In)homogeneous Poisson Cluster Point Process by Minimum Contrast

Fits the (In)homogeneous Poisson Cluster point process to a point pattern dataset by the Method of Minimum Contrast.

● Data Source: CranContrib
● Keywords: spatial
● Alias: ecespa.minconfit, ipc.estK, plot.ecespa.minconfit, print.ecespa.minconfit
● 0 images

getis (Package: ecespa) : Neighbourhood density function

Computes and plots the neighbourhood density function, a local version of the K-function defined by Getis and Franklin (1987).

● Data Source: CranContrib
● Keywords: spatial
● Alias: getis, plot.ecespa.getis, print.ecespa.getis
● 0 images