cbK: Cost-based Ripley's K and L functions

In famuvie/cbK: Cost-based Clustering Analysis of Human Settlements

Description

Cost-based Ripley's K and L functions

Usage

cbK(loc, cs, directions = 8)

Arguments

loc	SpatialPoins* object with locations
cs	raster object representing the cost surface in variable band1.
directions	Number of directions in which cells are connected: 4 (rook's case), 8 (queen's case), 16 (knight or king's case) or other (see adjacent)

Value

A list with elements:

• dm distance matrix

• mds the MDS fitted object

• loc the MDS locations as a point pattern

• K Ripley's K function

• env_K a Monte Carlo envelope for the K estimate

• L the L function

• env_L a Monte Carlo envelope for the L function

• eucl a list with the same objects for the Euclidean distance

Examples

  phase1 <- cbK(
    loc = roman_settlements
    cs  = tortosa_cs,
    directions = 4
  )

famuvie/cbK documentation built on May 16, 2019, 10:04 a.m.