regdist {spatclus}R Documentation

Distance weighting and breaks determination in 2D

Description

Determination of the trajectory, weighting of the distance and determination of the breaks by a regression of the distance on the selection order.

Usage

 regdist(data, pop, start, m, h, T, limx, limy)

Arguments

data Data frame with 2 colums (x and y) giving coordinates of case data points.
pop Matrix with 3 columns giving coordinates of underlying populations individuals in the first 2 colums. Last is a column of 1's.
start Indicates the rank of the first trajectory point in term of distance from the area edges. 1 means that the first point of the trajectory is the nearest from the edge.
m The maximal number of breaks.
h The minimal cluster size.
T The size of the weighted distance serie.
limx 2 element vector containing the study area bounds of the X-axis.
limy 2 element vector containing the study area bounds of the Y-axis.

Value

A list of objects :

res A result matrix giving, for each point ordered by its rank in the trajectory, its distance to the nearest neighbourg, the expentancy of this distance, and its weighted distance.
bc A list of vectors. The $k^{th}$ element of the list gives the estimated breaks for the model with $k$ breaks.

Author(s)

Christophe Dematte{"i} demattei@iurc.montp.inserm.fr

See Also

nincdepart espdist multbreak


[Package spatclus version 1.0-3 Index]