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Showing results 1 to 10 of 2,897.


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 overallSourcesPlot [diffeR v0.0-6]
keywords
spatial
title
Overall Sources plot
description
If comparison and reference (raster) maps are provided, this function creates the Overall Sources plot from the comparison between the comparison map (or map at time t) and the reference map (or map at time t+1). If a square contingency table (matrix) is provided instead of raster maps, then this function creates the Overall Sources plot from the comparison between the comparison variable (or variable at time t) and the reference variable (or variable at time t+1).
Function MAD [diffeR v0.0-6]
keywords
spatial
title
Mean Absolute Deviation (MAD)
description
Provides a method to compare the quantity difference and allocation difference between two images of the same real variable at the original resolution or at multiple resolutions. The output provides a stacked graph and an accompanying numerical table for the Mean Absolute Deviation (MAD) for the difference due to quantity, the difference due to stratum-level allocation, and difference due to pixel-level allocation. The output also indicates which image has a smaller average. A scatterplot indicating the distribution of values in relation to the 1:1 line can be produced with MADscatterplot
Function categoryComponentsPlot [diffeR v0.0-6]
keywords
spatial
title
Category Components plot
description
If comparison and reference (raster) maps are provided, this function creates the Category Components plot from the comparison between the comparison map (or map at time t) and the reference map (or map at time t+1). If a square contingency table (matrix) is provided instead of raster maps, then this function creates the Category Components plot from the comparison between the comparison variable (or variable at time t) and the reference variable (or variable at time t+1).
Function diffTablej [diffeR v0.0-6]
keywords
spatial
title
calculates difference metrics at the category level from a square contingency table
description
calculates quantity, exchange and shift components of difference, as well as the overall difference, at the category level from a contingency table derived from the crosstabulation between a comparison variable (or variable at time t), and a reference variable (or variable at time t+1). Quantity difference is defined as the amount of difference between the reference variable and a comparison variable that is due to the less than maximum match in the proportions of the categories. Exchange consists of a transition from category i to category j in some observations and a transition from category j to category i in an identical number of other observations. Shift refers to the difference remaining after subtracting quantity difference and exchange from the overall difference.