Search Results:

Showing results 1 to 10 of 2,764.


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.