Function kinhat [spatialkernel v0.4-23]

keywords

spatial

title

Inhomogeneous K-function Estimation Estimate the inhomogeneous K function of a non-stationary point pattern.

description

Inhomogeneous K-function Estimation Estimate the inhomogeneous K function of a non-stationary point pattern.

Function getBlocks [bayesImageS v0.6-0]

keywords

spatial

title

Get Blocks of a Graph

description

Obtain blocks of vertices of a 1D, 2D, or 3D graph, in order to use the conditional independence to speed up the simulation (chequerboard idea).

Function getEdges [bayesImageS v0.6-0]

keywords

spatial

title

Get Edges of a Graph

description

Obtain edges of a 1D, 2D, or 3D graph based on the neighbourhood structure.

Function getNeighbors [bayesImageS v0.6-0]

keywords

spatial

title

Get Neighbours of All Vertices of a Graph

description

Obtain neighbours of vertices of a 1D, 2D, or 3D graph.

Function neighborsDataFrame [expp v1.2.4]

keywords

spatial

title

Convert a nb object to data.frame.

description

Convert an object of class nb in package spdep or a list of nb objects to data.frame.

Function epp-class [expp v1.2.4]

keywords

spatial

title

Building data-set for realized and unrealized EPP-pairs

description

epp combines a SpatialPointsBreeding, a SpatialPolygons* as obtained from DirichletPolygons and a eppMatrix to create the spatial context for every potential and realized extra-pair male-female combination.

Function autoconst [prabclus v2.2-7]

keywords

spatial

title

Spatial autocorrelation parameter estimation

description

Monte Carlo estimation of the disjunction/spatial autocorrelation parameter pd for the simulation model used in randpop.nb, used for tests for clustering of presence-absence data. autoconst is the main function; autoreg performs the simulation and is executed within autoconst.

Function nbtest [prabclus v2.2-7]

keywords

spatial

title

Test of neighborhood list

description

Tests a list of neighboring regions for proper format. Neighborhood is tested for being symmetrical. Causes an error if tests fail.

Function regpop.sar [prabclus v2.2-7]

keywords

spatial

title

Simulation of abundance matrices (non-clustered)

description

Generates a simulated matrix where the rows are interpreted as regions and the columns as species, and the entries are abundances. Species are generated i.i.d. in two steps. In the first step, a presence-absence matrix is generated as in randpop.nb. In the second step, conditionally on presence in the first step, abundance values are generated according to a simultaneous autoregression (SAR) model for the log-abundances (see errorsarlm for the model; estimates are provided by the parameter sarestimate). Spatial autocorrelation of a species' presences is governed by the parameter p.nb, sarestimate and a list of neighbors for each region.

Function randpop.nb [prabclus v2.2-7]

keywords

spatial

title

Simulation of presence-absence matrices (non-clustered)

description

Generates a simulated matrix where the rows are interpreted as regions and the columns as species, 1 means that a species is present in the region and 0 means that the species is absent. Species are generated i.i.d.. Spatial autocorrelation of a species' presences is governed by the parameter p.nb and a list of neighbors for each region.