Last data update: 2014.03.03

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Results 1 - 10 of 109 found.
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trW (Package: spdep) : Spatial weights matrix powers traces

The function is used to prepare a vector of traces of powers of a spatial weights matrix
● Data Source: CranContrib
● Keywords: spatial
● Alias: mom_calc, mom_calc_int2, trW
● 0 images

summary.sarlm (Package: spdep) : summary method for class sarlm

Methods used for presenting the results of estimating spatial SAR models.
● Data Source: CranContrib
● Keywords: spatial
● Alias: print.sarlm, print.summary.sarlm, summary.sarlm
● 0 images

nbdists (Package: spdep) : Spatial link distance measures

Given a list of spatial neighbour links (a neighbours list of object type nb), the function returns the Euclidean distances along the links in a list of the same form as the neighbours list. If longlat = TRUE, Great Circle distances are used.
● Data Source: CranContrib
● Keywords: spatial
● Alias: nbdists
● 0 images

tolerance.nb (Package: spdep) : Function to construct edges based on a tolerance angle and a maximum distance

This function creates an object of class nb (defined in the library spdep) containing a connexion diagram. The edges between sites are based on a tolerance angle and a maximum distance. The angle is directional; its direction is always from the bottow to the top of the screen.
● Data Source: CranContrib
● Keywords: spatial
● Alias: tolerance.nb
● 0 images

geary.test (Package: spdep) : Geary's C test for spatial autocorrelation

Geary's test for spatial autocorrelation using a spatial weights matrix in weights list form. The assumptions underlying the test are sensitive to the form of the graph of neighbour relationships and other factors, and results may be checked against those of geary.mc permutations.
● Data Source: CranContrib
● Keywords: spatial
● Alias: geary.test
● 0 images

predict.sarlm (Package: spdep) : Prediction for spatial simultaneous autoregressive linear

predict.sarlm() calculates predictions as far as is at present possible for for spatial simultaneous autoregressive linear model objects, using Haining's terminology for decomposition into trend, signal, and noise, or other types of predictors — see references.
● Data Source: CranContrib
● Keywords: spatial
● Alias: as.data.frame.sarlm.pred, predict.sarlm, print.sarlm.pred
● 0 images

autocov_dist (Package: spdep) : Distance-weighted autocovariate

Calculates the autocovariate to be used in autonormal, autopoisson or autologistic regression. Three distance-weighting schemes are available.
● Data Source: CranContrib
● Keywords: spatial
● Alias: autocov_dist
● 0 images

as_dgRMatrix_listw (Package: spdep) : Interface between Matrix class objects and weights lists

Interface between Matrix class objects and weights lists
● Data Source: CranContrib
● Keywords: spatial
● Alias: Jacobian_W, as_dgRMatrix_listw, as_dsCMatrix_I, as_dsCMatrix_IrW, as_dsTMatrix_listw, coerce,listw,CsparseMatrix-method, coerce,listw,RsparseMatrix-method, coerce,listw,symmetricMatrix-method
● 0 images

include.self (Package: spdep) : Include self in neighbours list

The function includes the region itself in its own list of neighbours, and sets attribute "self.included" to TRUE.
● Data Source: CranContrib
● Keywords: spatial
● Alias: include.self
● 0 images

plot.mst (Package: spdep) : Plot the Minimum Spanning Tree

This function plots a MST, the nodes are circles and the edges are segments.
● Data Source: CranContrib
● Keywords: hplot, tree
● Alias: plot.mst
● 0 images